Modeling and Control of the Power Conversion Unit in a Solid Oxide Fuel Cell Environment

In this doctoral thesis, a power conversion unit for a 10 kWsolid oxide fuel cell is modeled, and a suitable control system is designed. The need for research was identified based on an observation that there was no information available about the characteristics of the solid oxide fuel cell from the perspective of power electronics and the control system, and suitable control methods had not previously been studied in the literature. In addition, because of the digital implementation of the control system, the inherent characteristics of the digital system had to be taken into account in the characteristics of the solid oxide fuel cell (SOFC). The characteristics of the solid oxide fuel cell as well the methods for the modeling and control of the DC/DC converter and the grid converter are studied by a literature survey. Based on the survey, the characteristics of the SOFC as an electrical power source are identified, and a solution to the interfacing of the SOFC in distributed generation is proposed. A mathematical model of the power conversion unit is provided, and the control design for the DC/DC converter and the grid converter is made based on the proposed interfacing solution. The limit cycling phenomenon is identified as a source of low-frequency current ripple, which is found to be insignificant when connected to a grid-tied converter. A method to mitigate a second harmonic originating from the grid interface is proposed, and practical considerations of the operation with the solid oxide fuel cell plant are presented. At the theoretical level, the thesis discusses and summarizes the methods to successfully derive a model for a DC/DC converter, a grid converter, and a power conversion unit. The results of this doctoral thesis can also be used in other applications, and the models and methods can be adopted to similar applications such as photovoltaic systems. When comparing the results with the objectives of the doctoral thesis, we may conclude that the objectives set for the work are met. In this doctoral thesis, theoretical and practical guidelines are presented for the successful control design to connect a SOFC-based distributed generation plant to the utility grid.

Keskusteluja vuokratyöstä. Vuokratyön diskursiivinen rakentuminen Suomessa

1990-luvun alussa lainsäädäntö ja työmarkkinajärjestöt määrittelivät Suomessa, että vuokratyötä tuli käyttää vain tilapäiseen työvoimatarpeeseen, esimerkiksi sijaisuuksiin ja ruuhkahuippuihin. Joillakin aloilla vuokratyö oli työnantajien ja työntekijöiden yhteissopimuksella kielletty. Vaikka vuokratyösuhteet saivat jo 1980-luvulla niin Suomessa kuin kansainvälisestikin maineen työsuhdekeinotteluna, alkoi vuokratyön määrä Suomessa kasvaa 1990-luvun puolivälissä ja erityisesti tultaessa 2000-luvulle. Suomalaiset akateemiset tutkijat eivät ole juuri vuokratyöstä kiinnostuneet. Aiemmat, harvalukuiset tutkimukset ovat keskittyneet lähinnä työyhteisöjen ja työntekijöiden kokemuksiin sekä vuokratyön työehtoihin. Vuokratyö ymmärretäänkin edelleen lähinnä työntekijän subjektiivisena kokemuksena. Vuokratyössä on kuitenkin kysymys paitsi kokemuksista, myös yhteiskunnallisesta valtakamppailusta, jossa diskursiivisin keinoin pyritään vaikuttamaan ilmiöön nimeltä vuokratyö, laajemmin ilmiöön nimeltä työmarkkinat, sekä toisaalta kansalaisten käsityksiin työelämän ”normaalista”. Käsillä oleva tutkimus laajentaa ymmärrystä vuokratyöstä tarkastelemalla ilmiötä lainsäädännön, uutisoinnin ja markkinoinnin rakentamien julkisten käsitysten ja merkityksenantojen kautta. Teoreettisena viitekehyksenä käytän hallinnan ja työprosessin säätelyn teoriaperinteitä. Se, miten työmarkkinoiden muutosta ja uusia työsuhdemuotoja politiikassa, mediassa, lainsäädännössä, tai työpaikan kahvipöytäkeskusteluissa perustellaan ja tehdään ymmärrettäväksi, on samalla työelämään kiinnitettävien arvojen, merkitysten ja toimijuuksien luomista, rajaamista ja kuvailua. Työelämäpuheessa ei siis ole kyse vain talouden lainalaisuuksista, kansantalouden toimivuudesta, tai yritysten kilpailukyvystä, vaan myös ja erityisesti niiden toimijoiden luomisesta, määrittelemisestä ja legitimoimisesta, jotka työelämän kentällä saavat toimia ja tulevat palkituiksi. Säätelyn ja hallinnan näkökulmasta on relevanttia tarkastella millaisilla käsitteillä ja merkityksillä vuokratyötä ilmiönä rakennetaan . Tutkimuskysymyksinä esitän: 1) Miten ja millä perusteilla vuokratyöstä rakennettiin Suomessa legitiimi tapa työllistää ja työllistyä? 2) Millaisia työntekijäideaaleja vuokratyöhön liittyvissä keskusteluissa rakennetaan? Tutkimusaineistona tarkastelen lainsäädäntöön liittyviä dokumentteja, Helsingin Sanomien uutisointia, vuokratyöyritysten markkinointimateriaaleja, sekä vuokratyöyritysten edustajien haastatteluita. Analyysimenetelmänä käytän kriittistä diskurssianalyysia. Tämä menetelmä mahdollistaa puheen ja dokumenttien tarkastelun sosiaalisena toimintana, jolla eri toimijat pyrkivät osallistumaan yhteiskunnassa hyväksyttyjen ja tunnustettujen käsitysten ja toimintavaihtoehtojen rakentamis-, tulkinta- ja määrittelyprosesseihin. Tutkimukseni päätuloksena esitän, että vuokratyöstä muodostui legitiimi tapa työllistää Suomessa 1990-luvulla, koska vuokratyö käsitteellistettiin sekä lainsäädännön että median diskursseissa ennen kaikkea ratkaisuksi työttömyyteen. Toisaalta vuokratyö käsitteellistettiin vain marginaalisten työntekijäryhmien (naiset ja opiskelijat) rooliksi, jolloin se ei liittynyt miesvaltaisten työpaikkojen arkeen. Ratkaisuna työttömyyteen vuokratyö myös samalla luonnollistettiin osaksi yleisempää työmarkkinakehitystä, jolle ”kukaan ei voi mitään”. 2000-luvulla vuokratyö jatkoi voittokulkuaan ja rakentui pysyväksi ilmiöksi, koska työlainsäädännön uudistus institutionalisoi vuokratyön työehtosopimusmenettelyyn, jolloin sen ”salonkikelpoisuus” ja normaalius vahvistettiin. Vaikka työehtosopimusasia oli ratkaisuna merkittävä, nousi vuokratyön osalta itse työehtosopimus tärkeämmäksi kuin sen sisältö. Työehtosopimuksilla ei kuitenkaan pystytty vaikuttamaan esimerkiksi vuokratyöntekijän olemattomaan työsuhdeturvaan. Lisäksi työnantajapuhe käsitteellistää vuokratyön 2000-luvulla ennen kaikkea työmarkkinavaihtoehdoksi, vapautta ja monipuolisia työkokemuksia tarjoavaksi työmarkkinoiden katalysaattoriksi. Vuokratyö on tässä merkitysavaruudessa työntekijöille ”vain” yksi tapa työllistyä ja löytää oma tiensä työmarkkinoille, ei suinkaan työnantajien sanelema pakko. Työntekijöihin kohdistuva hallintapuhe niin mediassa kuin työnantajien haastatteluissakin pyrkii puolestaan rakentamaan ideaalityöntekijäkuvaksi yrittäjämäisen oman elämänsä toimitusjohtajan. Työnantajien diskursseissa kaikuvatkin työntekijään kohdistuva vaatimus itse itsensä ohjaamisesta sekä työntekijäidentiteetin muotoilemisesta joustavuutta, sopeutuvuutta, vaihtelua ja jatkuvaa muutosta vähintäänkin sietäväksi, mutta mieluiten näitä ominaisuuksia jopa aktiivisesti hakevaksi ja arvostavaksi. Työmarkkinoiden toimijana on nimenomaisesti yksilö, jonka mahdollisuudet menestyä ovat vain ja ainoastaan hänen omissa käsissään. Työntekijän roolin korostaminen aktiivisena toimijana ja vuokratyöstä ”oikeita”, norminmukaisia sisältöjä löytävänä pärjääjänä on diskursiivisesti hallittua yritystä ohjata työntekijöitä näkemään sekä itsensä tietynlaisina toimijoina että työmarkkinat tietyllä tavalla toimivina. Vuokratyössä ei ole kyse vain työntekijöiden yksilöllisistä tai yksittäisistä kokemuksista. Vuokratyö on yhteiskunnallisen merkityskamppailun tulos, jossa käyttövoimana ovat toimineet hallinnalliset ja säätelyyn pyrkivät käsitteellistykset työllisyydestä, yksilön valinnasta ja koko yhteiskunnan edusta. Hallinnan ja säätelyn näkökulmasta katsottuna vuokratyö on myös merkinnyt säätelyn liukumista tasa-arvoa, yhdenmukaista kohtelua ja työntekijän suojelua korostavasta viranomaisten ja poliittisten toimijoiden suorittamasta työmarkkinoiden kollektiivisesta säätelystä työnantajien ylläpitämään työntekijän persoonan ja käyttäytymisen hegemoniseen, yksilölliseen säätelyyn.

Virtual technology and haptic interface solutions for design and control of mobile working machines

Commercially available haptic interfaces are usable for many purposes. However, as generic devices they are not the most suitable for the control of heavy duty mobile working machines like mining machines, container handling equipment and excavators. Alternative mechanical constructions for a haptic controller are presented and analysed. A virtual reality environment (VRE) was built to test the proposed haptic controller mechanisms. Verification of an electric motor emulating a hydraulic pump in the electro-hydraulic system of a mobile working machine is carried out. A real-time simulator using multi-body-dynamics based software with hardware-in-loop (HIL) setup was used for the tests. Recommendations for further development of a haptic controller and emulator electric motor are given.

Permuurahaishapon valmistaminen mikroreaktorissa

Kandidaatintyön teoriaosassa perehdytään mikroreaktoreihin sekä niiden etuihin ja haasteisiin. Lisäksi esitellään lyhyesti, kuinka sekoitus näissä reaktoreissa voidaan järjestää erilaisten sekoituselementtien avulla sekä uusien ainetta lisäävien valmistusmenetelmien tarjoamat mahdollisuudet reaktorien valmistukselle. Mikroreaktorien edut liittyvät pääasiassa prosessin helpompaan hallittavuuteen, mikä johtaa mm. turvallisuuden lisääntymiseen ja energiasäästöihin. Lisäksi esitellään kokeellisessa osassa lähtöaineina käytettävät vetyperoksidi ja muurahaishappo, sekä tuotteena syntyvä permuurahaishappo ja sen käyttökohteita. Permuurahaishappoa käytetään mm. desinfiointiaineiden yhtenä komponenttina. Sitä voidaan käyttää myös paperikoneen vesikierron bakteerien tappamiseen. Epästabiiliutensa vuoksi permuurahaishappo voi räjähtää jopa huoneenlämmössä, mikä aiheuttaa merkittävän riskin sen varastoinnille ja kuljetukselle. Tästä syystä työssä tutkittu menetelmä permuurahaishapon valmistamiseksi mikroreaktorissa tarjoaa hyvän vaihtoehdon permuurahaishapon tuottamiseksi suoraan tarpeeseen. Kokeellisessa osassa permuurahaishappoa valmistettiin muurahaishaposta ja vetyperoksidista käyttäen rikkihappoa katalyyttinä reaktion nopeuttamiseksi. Lämpötilan ja viipymäajan vaikutusta tutkittiin permuurahaishapon muodostumiseen. Molempien nosto vaikutti edullisesti permuurahaishapon saantoon, mutta lämpötilan nosto lisää samalla räjähdysriskiä. Mikroreaktorissa lämpötilan nosto on kuitenkin suhteessa turvallisempaa makroreaktoriin verrattuna.

Flexible multibody dynamics and intelligent control of a hydraulically driven hybrid redundant robot machine

The assembly and maintenance of the International Thermonuclear Experimental Reactor (ITER) vacuum vessel (VV) is highly challenging since the tasks performed by the robot involve welding, material handling, and machine cutting from inside the VV. The VV is made of stainless steel, which has poor machinability and tends to work harden very rapidly, and all the machining operations need to be carried out from inside of the ITER VV. A general industrial robot cannot be used due to its poor stiffness in the heavy duty machining process, and this will cause many problems, such as poor surface quality, tool damage, low accuracy. Therefore, one of the most suitable options should be a light weight mobile robot which is able to move around inside of the VV and perform different machining tasks by replacing different cutting tools. Reducing the mass of the robot manipulators offers many advantages: reduced material costs, reduced power consumption, the possibility of using smaller actuators, and a higher payload-to-robot weight ratio. Offsetting these advantages, the lighter weight robot is more flexible, which makes it more difficult to control. To achieve good machining surface quality, the tracking of the end effector must be accurate, and an accurate model for a more flexible robot must be constructed. This thesis studies the dynamics and control of a 10 degree-of-freedom (DOF) redundant hybrid robot (4-DOF serial mechanism and 6-DOF 6-UPS hexapod parallel mechanisms) hydraulically driven with flexible rods under the influence of machining forces. Firstly, the flexibility of the bodies is described using the floating frame of reference method (FFRF). A finite element model (FEM) provided the Craig-Bampton (CB) modes needed for the FFRF. A dynamic model of the system of six closed loop mechanisms was assembled using the constrained Lagrange equations and the Lagrange multiplier method. Subsequently, the reaction forces between the parallel and serial parts were used to study the dynamics of the serial robot. A PID control based on position predictions was implemented independently to control the hydraulic cylinders of the robot. Secondly, in machining, to achieve greater end effector trajectory tracking accuracy for surface quality, a robust control of the actuators for the flexible link has to be deduced. This thesis investigates the intelligent control of a hydraulically driven parallel robot part based on the dynamic model and two schemes of intelligent control for a hydraulically driven parallel mechanism based on the dynamic model: (1) a fuzzy-PID self-tuning controller composed of the conventional PID control and with fuzzy logic, and (2) adaptive neuro-fuzzy inference system-PID (ANFIS-PID) self-tuning of the gains of the PID controller, which are implemented independently to control each hydraulic cylinder of the parallel mechanism based on rod length predictions. The serial component of the hybrid robot can be analyzed using the equilibrium of reaction forces at the universal joint connections of the hexa-element. To achieve precise positional control of the end effector for maximum precision machining, the hydraulic cylinder should be controlled to hold the hexa-element. Thirdly, a finite element approach of multibody systems using the Special Euclidean group SE(3) framework is presented for a parallel mechanism with flexible piston rods under the influence of machining forces. The flexibility of the bodies is described using the nonlinear interpolation method with an exponential map. The equations of motion take the form of a differential algebraic equation on a Lie group, which is solved using a Lie group time integration scheme. The method relies on the local description of motions, so that it provides a singularity-free formulation, and no parameterization of the nodal variables needs to be introduced. The flexible slider constraint is formulated using a Lie group and used for modeling a flexible rod sliding inside a cylinder. The dynamic model of the system of six closed loop mechanisms was assembled using Hamilton’s principle and the Lagrange multiplier method. A linearized hydraulic control system based on rod length predictions was implemented independently to control the hydraulic cylinders. Consequently, the results of the simulations demonstrating the behavior of the robot machine are presented for each case study. In conclusion, this thesis studies the dynamic analysis of a special hybrid (serialparallel) robot for the above-mentioned special task involving the ITER and investigates different control algorithms that can significantly improve machining performance. These analyses and results provide valuable insight into the design and control of the parallel robot with flexible rods.

Adaptive control of Hydraulic Drive

Adaptive control systems are one of the most significant research directions of modern control theory. It is well known that every mechanical appliance’s behavior noticeably depends on environmental changes, functioning-mode parameter changes and changes in technical characteristics of internal functional devices. An adaptive controller involved in control process allows reducing an influence of such changes. In spite of this such type of control methods is applied seldom due to specifics of a controller designing. The work presented in this paper shows the design process of the adaptive controller built by Lyapunov’s function method for the Hydraulic Drive. The calculation needed and the modeling were conducting with MATLAB® software including Simulink® and Symbolic Math Toolbox™ etc. In the work there was applied the Jacobi matrix linearization of the object’s mathematical model and derivation of the suitable reference models based on Newton’s characteristic polynomial. The intelligent adaptive to nonlinearities algorithm for solving Lyapunov’s equation was developed. Developed algorithm works properly but considered plant is not met requirement of functioning with. The results showed confirmation that adaptive systems application significantly increases possibilities in use devices and might be used for correction a system’s behavior dynamics.

Robust current control of a phase shifted full-bridge buck converter

In this thesis, the main point of interest is the robust control of a DC/DC converter. The use of reactive components in the power conversion gives rise to dynamical effects in DC/DC converters and the dynamical effects of the converter mandates the use of active control. Active control uses measurements from the converter to correct errors present in the converter’s output. The controller needs to be able to perform in the presence of varying component values and different kinds of disturbances in loading and noises in measurements. Such a feature in control design is referred as robustness. This thesis also contains survey of general properties of DC/DC converters and their effects on control design. In this thesis, a linear robust control design method is studied. A robust controller is then designed and applied to the current control of a phase shifted full bridge converter. The experimental results are shown to match simulations.

Dual light barrier method for six degrees of freedom tool center point calibration of an industrial robot

Tool center point calibration is a known problem in industrial robotics. The major focus of academic research is to enhance the accuracy and repeatability of next generation robots. However, operators of currently available robots are working within the limits of the robot´s repeatability and require calibration methods suitable for these basic applications. This study was conducted in association with Stresstech Oy, which provides solutions for manufacturing quality control. Their sensor, based on the Barkhausen noise effect, requires accurate positioning. The accuracy requirement admits a tool center point calibration problem if measurements are executed with an industrial robot. Multiple possibilities are available in the market for automatic tool center point calibration. Manufacturers provide customized calibrators to most robot types and tools. With the handmade sensors and multiple robot types that Stresstech uses, this would require great deal of labor. This thesis introduces a calibration method that is suitable for all robots which have two digital input ports free. It functions with the traditional method of using a light barrier to detect the tool in the robot coordinate system. However, this method utilizes two parallel light barriers to simultaneously measure and detect the center axis of the tool. Rotations about two axes are defined with the center axis. The last rotation about the Z-axis is calculated for tools that have different width of X- and Y-axes. The results indicate that this method is suitable for calibrating the geometric tool center point of a Barkhausen noise sensor. In the repeatability tests, a standard deviation inside robot repeatability was acquired. The Barkhausen noise signal was also evaluated after recalibration and the results indicate correct calibration. However, future studies should be conducted using a more accurate manipulator, since the method employs the robot itself as a measuring device.

Stiffness based trajectory planning and feedforward based vibration suppression control of parallel robot machines

The dissertation proposes two control strategies, which include the trajectory planning and vibration suppression, for a kinematic redundant serial-parallel robot machine, with the aim of attaining the satisfactory machining performance. For a given prescribed trajectory of the robot's end-effector in the Cartesian space, a set of trajectories in the robot's joint space are generated based on the best stiffness performance of the robot along the prescribed trajectory. To construct the required system-wide analytical stiffness model for the serial-parallel robot machine, a variant of the virtual joint method (VJM) is proposed in the dissertation. The modified method is an evolution of Gosselin's lumped model that can account for the deformations of a flexible link in more directions. The effectiveness of this VJM variant is validated by comparing the computed stiffness results of a flexible link with the those of a matrix structural analysis (MSA) method. The comparison shows that the numerical results from both methods on an individual flexible beam are almost identical, which, in some sense, provides mutual validation. The most prominent advantage of the presented VJM variant compared with the MSA method is that it can be applied in a flexible structure system with complicated kinematics formed in terms of flexible serial links and joints. Moreover, by combining the VJM variant and the virtual work principle, a systemwide analytical stiffness model can be easily obtained for mechanisms with both serial kinematics and parallel kinematics. In the dissertation, a system-wide stiffness model of a kinematic redundant serial-parallel robot machine is constructed based on integration of the VJM variant and the virtual work principle. Numerical results of its stiffness performance are reported. For a kinematic redundant robot, to generate a set of feasible joints' trajectories for a prescribed trajectory of its end-effector, its system-wide stiffness performance is taken as the constraint in the joints trajectory planning in the dissertation. For a prescribed location of the end-effector, the robot permits an infinite number of inverse solutions, which consequently yields infinite kinds of stiffness performance. Therefore, a differential evolution (DE) algorithm in which the positions of redundant joints in the kinematics are taken as input variables was employed to search for the best stiffness performance of the robot. Numerical results of the generated joint trajectories are given for a kinematic redundant serial-parallel robot machine, IWR (Intersector Welding/Cutting Robot), when a particular trajectory of its end-effector has been prescribed. The numerical results show that the joint trajectories generated based on the stiffness optimization are feasible for realization in the control system since they are acceptably smooth. The results imply that the stiffness performance of the robot machine deviates smoothly with respect to the kinematic configuration in the adjacent domain of its best stiffness performance. To suppress the vibration of the robot machine due to varying cutting force during the machining process, this dissertation proposed a feedforward control strategy, which is constructed based on the derived inverse dynamics model of target system. The effectiveness of applying such a feedforward control in the vibration suppression has been validated in a parallel manipulator in the software environment. The experimental study of such a feedforward control has also been included in the dissertation. The difficulties of modelling the actual system due to the unknown components in its dynamics is noticed. As a solution, a back propagation (BP) neural network is proposed for identification of the unknown components of the dynamics model of the target system. To train such a BP neural network, a modified Levenberg-Marquardt algorithm that can utilize an experimental input-output data set of the entire dynamic system is introduced in the dissertation. Validation of the BP neural network and the modified Levenberg- Marquardt algorithm is done, respectively, by a sinusoidal output approximation, a second order system parameters estimation, and a friction model estimation of a parallel manipulator, which represent three different application aspects of this method.

Control of Robot by Means of Human Thought

Brain computer interface (BCI) is a kind of human machine interface, which provides a new interaction method between human and computer or other equipment. The most significant characteristic of BCI system is that its control input is brain electrical activities acquired from the brain instead of traditional input such as hands or eyes. BCI technique has rapidly developed during last two decades and it has mainly worked as an auxiliary technique to help the disable people improve their life qualities. With the appearance of low cost novel electrical devices such as EMOTIV, BCI technique has been applied to the general public through many useful applications including video gaming, virtual reality and virtual keyboard. The purpose of this research is to be familiar with EMOTIV EPOC system and make use of it to build an EEG based BCI system for controlling an industrial manipulator by means of human thought. To build a BCI system, an acquisition program based on EMOTIV EPOC system is designed and a MFC based dialog that works as an operation panel is presented. Furthermore, the inverse kinematics of RV-3SB industrial robot was solved. In the last part of this research, the designed BCI system with human thought input is examined and the results indicate that the system is running smoothly and displays clearly the motion type and the incremental displacement of the motion.

Differential evolution based classification with pool of distances and aggregation operators

The objective of this thesis is to develop and generalize further the differential evolution based data classification method. For many years, evolutionary algorithms have been successfully applied to many classification tasks. Evolution algorithms are population based, stochastic search algorithms that mimic natural selection and genetics. Differential evolution is an evolutionary algorithm that has gained popularity because of its simplicity and good observed performance. In this thesis a differential evolution classifier with pool of distances is proposed, demonstrated and initially evaluated. The differential evolution classifier is a nearest prototype vector based classifier that applies a global optimization algorithm, differential evolution, to determine the optimal values for all free parameters of the classifier model during the training phase of the classifier. The differential evolution classifier applies the individually optimized distance measure for each new data set to be classified is generalized to cover a pool of distances. Instead of optimizing a single distance measure for the given data set, the selection of the optimal distance measure from a predefined pool of alternative measures is attempted systematically and automatically. Furthermore, instead of only selecting the optimal distance measure from a set of alternatives, an attempt is made to optimize the values of the possible control parameters related with the selected distance measure. Specifically, a pool of alternative distance measures is first created and then the differential evolution algorithm is applied to select the optimal distance measure that yields the highest classification accuracy with the current data. After determining the optimal distance measures for the given data set together with their optimal parameters, all determined distance measures are aggregated to form a single total distance measure. The total distance measure is applied to the final classification decisions. The actual classification process is still based on the nearest prototype vector principle; a sample belongs to the class represented by the nearest prototype vector when measured with the optimized total distance measure. During the training process the differential evolution algorithm determines the optimal class vectors, selects optimal distance metrics, and determines the optimal values for the free parameters of each selected distance measure. The results obtained with the above method confirm that the choice of distance measure is one of the most crucial factors for obtaining higher classification accuracy. The results also demonstrate that it is possible to build a classifier that is able to select the optimal distance measure for the given data set automatically and systematically. After finding optimal distance measures together with optimal parameters from the particular distance measure results are then aggregated to form a total distance, which will be used to form the deviation between the class vectors and samples and thus classify the samples. This thesis also discusses two types of aggregation operators, namely, ordered weighted averaging (OWA) based multi-distances and generalized ordered weighted averaging (GOWA). These aggregation operators were applied in this work to the aggregation of the normalized distance values. The results demonstrate that a proper combination of aggregation operator and weight generation scheme play an important role in obtaining good classification accuracy. The main outcomes of the work are the six new generalized versions of previous method called differential evolution classifier. All these DE classifier demonstrated good results in the classification tasks.

Improving reporting and internal control with process thinking - case study in a multinational corporation

The aim of this Master’s Thesis is to find applicable methods from process management literature for improving reporting and internal control in a multinational corporation. The method of analysis is qualitative and the research is conducted as a case study. Empirical data collection is carried out through interviews and participating observation. The theoretical framework is built around reporting and guidance between parent company and subsidiary, searching for means to improve them from process thinking and applicable frameworks. In the thesis, the process of intercompany reporting in the case company is modelled, and its weak points, risks, and development targets are identified. The framework of critical success factors in process improvement is utilized in assessing the development targets. Also internal control is analyzed with the tools of process thinking. As a result of this thesis, suggestions for actions improving the reporting process and internal control are made to the case company, the most essential of which are ensuring top management’s awareness and commitment to improvement, creating guidelines and tools for internal control and creating and implementing improved intercompany reporting process.