953 resultados para Indução


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Empregou-se a associação midazolam e detomidina para indução de anestesia com cetamina em 16 potros, machos e fêmeas, entre três e seis meses de idade, distribuídos aleatória e equitativamente em dois grupos (GI e GII). A todos os animais foram administrados midazolam, via intramuscular, na dose de 0,2mg/kg, e após 15 minutos, detomidina, via intravenosa, na dose de 0,02mg/kg. Os animais do GII receberam cetamina pela via intravenosa, dose 2,0mg/kg, três minutos após a administração de detomidina. Quinze minutos após o midazolam, ocorreram sedação e ligeira ataxia, e dois minutos após a administração da detomidina, decúbito lateral em todos os potros, com miorrelaxamento e presença dos reflexos de deglutição e miorrelaxamento, anal e oculo-palpebral. A associação midazolam/detomidina e cetamina provocou ausência dos reflexos de deglutição. Para todos os animais, o tempo de recuperação foi de 45-60 minutos, e temperatura retal e frequência respiratória permaneceram estáveis. Ocorreram bradicardia, bloqueio atrioventricular de segundo grau e aumento das pressões arteriais sistólica, diastólica e média após dois minutos da administração da detomidina. A associação midazolam/detomidina e cetamina demonstrou ser um método eficiente e seguro para a anestesia de potros hígidos.

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O presente trabalho teve por objetivo avaliar a influência de diferentes concentrações de ethephon na expressão precoce de sintomas de Guignardia citricarpa em frutos de laranjeira 'Pêra-Rio'. Para tal, frutos assintomáticos e isentos de aplicações com fungicidas, com 20 e 28 semanas após a queda de pétalas, foram coletados em área de comprovada existência da doença, no município de Conchal-SP e levados ao Laboratório de Fitopatologia da FCAV/UNESP, em Jaboticabal-SP, onde foram tratados com soluções nas seguintes doses de ethephon: i) 1,57 g L-1; ii) 2,10 g L-1; iii) 2,42 g L-1; iv) Testemunha (água). Todas acrescidas de imazalil a 0,25 g L-1, para prevenir podridões de pós-colheita. Após os tratamentos, os frutos foram mantidos em câmara incubadora para B.O.D., calibrada à temperatura de 25ºC ±1ºC, por 15 dias. Posteriormente, os frutos foram submetidos a quatro avaliações, em intervalos semanais, sendo atribuídas notas que variaram de zero (ausência de sintomas) a 6 (sintomas severos). Os dados da severidade da doença observados nos frutos colhidos prematuramente e submetidos aos diferentes tratamentos com ethephon foram comparados aos observados em frutos ensacados e não ensacados, mantidos no campo até a maturação natural. Constatou-se maior equivalência de sintomas nos frutos com idade entre 20 e 28 semanas, quando estes foram tratados com 2,10 g L-1 de ethephon e avaliados entre 28 e 35 dias. Concluiu-se que o emprego de ethephon, nestas condições, viabilizou a expressão precoce dos sintomas da mancha preta em frutos contendo infecções quiescentes de G. citricarpa, com antecedência de, pelo menos, 105 dias antes da colheita. Tal resultado constitui-se, portanto, em alternativa de grande aplicabilidade na detecção precoce de sintomas de mancha preta.

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Objetivou-se estudar os efeitos de ácido giberélico (GA3) (i.a.), nas concentrações de 50 e 100 mg L-1, acrescido do espalhante adesivo Extravon® a 0,05%, em duas aplicações via foliar e do paclobutrazol (PBZ) (i.a.), em doses de 2 e 4 g por planta, aplicado via solo, em uma única aplicação, na antecipação da floração do maracujazeiro-amarelo, em Araguari-MG. O delineamento experimental empregado foi em parcelas subdivididas, com cinco tratamentos (parcelas) e dois tratamentos (subparcelas), com quatro repetições e quatro plantas por parcela. Foram identificados 12 ramos terciários por parcela, com seis ramos expostos à luminosidade predominante pela manhã e seis com luminosidade predominante à tarde. Avaliaram-se os dois lados da espaldeira aos 103 dias após a primeira aplicação dos tratamentos, observando-se o comprimento dos ramos e de entrenós, número de nós e de botões florais. Os reguladores não promoveram respostas significativas para o comprimento dos entrenós e o número de botões florais. Porém, observaram-se indícios de maior número de botões florais com PBZ 2 g. O maior comprimento dos ramos foi obtido com GA3 100 mg L-1, sob luminosidade, pela manhã. Ao se compararem os tratamentos nas duas condições de luminosidade, o PBZ 4 g, independentemente da condição de luminosidade, proporcionou o menor comprimento dos ramos.

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This work describes the study and the implementation of the vector speed control for a three-phase Bearingless induction machine with divided winding of 4 poles and 1,1 kW using the neural rotor flux estimation. The vector speed control operates together with the radial positioning controllers and with the winding currents controllers of the stator phases. For the radial positioning, the forces controlled by the internal machine magnetic fields are used. For the radial forces optimization , a special rotor winding with independent circuits which allows a low rotational torque influence was used. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed and radial positioning controllers to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The DSP resources used by the system are: the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system

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This work describes the study and the implementation of the speed control for a three-phase induction motor of 1,1 kW and 4 poles using the neural rotor flux estimation. The vector speed control operates together with the winding currents controller of the stator phasis. The neural flux estimation applied to the vector speed controls has the objective of compensating the parameter dependences of the conventional estimators in relation to the parameter machine s variations due to the temperature increases or due to the rotor magnetic saturation. The implemented control system allows a direct comparison between the respective responses of the speed controls to the machine oriented by the neural rotor flux estimator in relation to the conventional flux estimator. All the system control is executed by a program developed in the ANSI C language. The main DSP recources used by the system are, respectively, the Analog/Digital channels converters, the PWM outputs and the parallel and RS-232 serial interfaces, which are responsible, respectively, by the DSP programming and the data capture through the supervisory system

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This work presents a model of bearingless induction machine with divided winding. The main goal is to obtain a machine model to use a simpler control system as used in conventional induction machine and to know its behavior. The same strategies used in conventional machines were used to reach the bearingless induction machine model, which has made possible an easier treatment of the involved parameters. The studied machine is adapted from the conventional induction machine, the stator windings were divided and all terminals had been available. This method does not need an auxiliary stator winding for the radial position control which results in a more compact machine. Another issue about this machine is the variation of inductances array also present in result of the rotor displacement. The changeable air-gap produces variation in magnetic flux and in inductances consequently. The conventional machine model can be used for the bearingless machine when the rotor is centered, but in rotor displacement condition this model is not applicable. The bearingless machine has two sets of motor-bearing, both sets with four poles. It was constructed in horizontal position and this increases difficulty in implementation. The used rotor has peculiar characteristics; it is projected according to the stator to yield the greatest torque and force possible. It is important to observe that the current unbalance generated by the position control does not modify the machine characteristics, this only occurs due the radial rotor displacement. The obtained results validate the work; the data reached by a supervisory system corresponds the foreseen results of simulation which verify the model veracity

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This work presents a proposal for a voltage and frequency control system for a wind power induction generator. It has been developed na experimental structure composes basically by a three phase induction machine, a three phase capacitor and a reactive static Power compensator controlled by histeresys. lt has been developed control algorithms using conventional methods (Pl control) and linguistic methods (using concepts of logic and fuzzy control), to compare their performances in the variable speed generator system. The control loop was projected using the ADJDA PCL 818 model board into a Pentium 200 MHz compu ter. The induction generator mathematical model was studied throught Park transformation. It has been realized simulations in the Pspice@ software, to verify the system characteristics in transient and steady-state situations. The real time control program was developed in C language, possibilish verify the algorithm performance in the 2,2kW didatic experimental system

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This dissertation dea1s with the active magnetic suspension controI system of an induction bearingIess motor configured with split windings. It analyses a dynamic modeI for the radial magnetic forces actuating on the rotor. From that, it proposes a new approach for the composition of the currents imposed to the machine's stator. It shows the tests accomplished with a prototype, proving the usefulness of the new actuating structure for the radial positioning controI. Finnaly, it points out the importance of adapting this structure to well-known rotational controI techniques, continuing this kind of equipment research, which is carried out at Federal University of Rio Grande do Norte since 2000

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The present work is based on the applied bilinear predictive control applied to an induction motor. As in particular case of the technique based on predictive control in nonlinem systems, these have desperted great interest, a time that present the advantage of being simpler than the non linear in general and most representative one than the linear one. One of the methods, adopted here, uses the linear model "quasi linear for step of time" based in Generalized Predictive Control. The modeling of the induction motor is made by the Vectorial control with orientation given for the indirect rotor. The system is formed by an induction motor of 3 cv with rotor in squirregate, set in motion for a group of benches of tests developed for this work, presented resulted for a variation of +5% in the value of set-point and for a variation of +10% and -10% in the value of the applied nominal load to the motor. The results prove a good efficiency of the predictive bilinear controllers, then compared with the linear cases

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Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification

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This work describes the experimental implementation of a shunt active power filter applied to a three-phase induction generator. The control strategy of active filter turned to the excitation control of the machine and to decrease the harmonics in the generator output current. Involved the implementation of a digital PWM switching, and was made a comparison of two techniques for obtaining the reference currents. The first technique is based on the synchronous dq reference method and the second on the theory of instantaneous power. The comparison is performed via simulation and experimental results. To obtain the experimental results, was mounted a bench trial and the control and communications needed were implemented using DSP - MS320F2812. The simulation results and experimental data proved the efficiency of the filter to apply, highlighting the technique of instantaneous power

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The present work describes the use of a mathematical tool to solve problems arising from control theory, including the identification, analysis of the phase portrait and stability, as well as the temporal evolution of the plant s current induction motor. The system identification is an area of mathematical modeling that has as its objective the study of techniques which can determine a dynamic model in representing a real system. The tool used in the identification and analysis of nonlinear dynamical system is the Radial Basis Function (RBF). The process or plant that is used has a mathematical model unknown, but belongs to a particular class that contains an internal dynamics that can be modeled.Will be presented as contributions to the analysis of asymptotic stability of the RBF. The identification using radial basis function is demonstrated through computer simulations from a real data set obtained from the plant

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Induction motors are one of the most important equipment of modern industry. However, in many situations, are subject to inadequate conditions as high temperatures and pressures, load variations and constant vibrations, for example. Such conditions, leaving them more susceptible to failures, either external or internal in nature, unwanted in the industrial process. In this context, predictive maintenance plays an important role, where the detection and diagnosis of faults in a timely manner enables the increase of time of the engine and the possibiity of reducing costs, caused mainly by stopping the production and corrective maintenance the motor itself. In this juncture, this work proposes the design of a system that is able to detect and diagnose faults in induction motors, from the collection of electrical line voltage and current, and also the measurement of engine speed. This information will use as input to a fuzzy inference system based on rules that find and classify a failure from the variation of thess quantities

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Electrical Motors transform electrical energy into mechanic energy in a relatively easy way. In some specific applications, there is a need for electrical motors to function with noncontaminated fluids, in high speed systems, under inhospitable conditions, or yet, in local of difficult access and considerable depth. In these cases, the motors with mechanical bearings are not adequate as their wear give rise to maintenance. A possible solution for these problems stems from two different alternatives: motors with magnetic bearings, that increase the length of the machine (not convenient), and the bearingless motors that aggregate compactness. Induction motors have been used more and more in research, as they confer more robustness to bearingless motors compared to other types of machines building with others motors. The research that has already been carried out with bearingless induction motors utilized prototypes that had their structures of stator/rotor modified, that differ most of the times from the conventional induction motors. The goal of this work is to study the viability of the use of conventional induction Motors for the beringless motors applications, pointing out the types of Motors of this category that can be more useful. The study uses the Finite Elements Method (FEM). As a means of validation, a conventional induction motor with squirrel-cage rotor was successfully used for the beringless motor application of the divided winding type, confirming the proposed thesis. The controlling system was implemented in a Digital Signal Processor (DSP)

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This paper describes the study, computer simulation and feasibility of implementation of vector control speed of an induction motor using for this purpose the Extended Kalman Filter as an estimator of rotor flux. The motivation for such work is the use of a control system that requires no sensors on the machine shaft, thus providing a considerable cost reduction of drives and their maintenance, increased reliability, robustness and noise immunity as compared to control systems with conventional sensors