978 resultados para FOPID Controller


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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This article discusses the design of robust controller applied to Wheelchair Furniture via Linear Matrix Inequalities (LMI), to obtain Strictly Positive Real (SPR) systems. The contributions of this work were the choice of a mathematical model for wheelchair: mobile with uncertainty about the position of the center of gravity (CG), the decoupling of the kinematic and dynamical systems, linearization of the models, the headquarters building of parametric uncertainties, the proposal of the control loop and control law with a specified decay rate.

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In this work, a method of computing PD stabilising gains for rotating systems is presented based on the D-decomposition technique, which requires the sole knowledge of frequency response functions. By applying this method to a rotating system with electromagnetic actuators, it is demonstrated that the stability boundary locus in the plane of feedback gains can be easily plotted, and the most suitable gains can be found to minimise the resonant peak of the system. Experimental results for a Laval rotor show the feasibility of not only controlling lateral shaft vibration and assuring stability, but also helps in predicting the final vibration level achieved by the closed-loop system. These results are obtained based solely on the input-output response information of the system as a whole.

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The major goal of this research was the development and implementation of a control system able to avoid collisions during the flight for a mini-quadrotor helicopter, based only on its embedded sensors without changing the environment. However, it is important to highlight that the design aspects must be seriously considered in order to overcome hardware limitations and achieve control simplification. The controllers of a UAV (Unmanned Aerial Vehicle) robot deal with highly unstable dynamics and strong axes coupling. Furthermore, any additional embedded sensor increases the robot total weight and therefore, decreases its operating time. The best balance between embedded electronics and robot operating time is desired. This paper focuses not only on the development and implementation of a collision avoidance controller for a mini-robotic helicopter using only its embedded sensors, but also on the mathematical model that was essential for the controller developing phases. Based on this model we carried out the development of a simulation tool based on MatLab/Simulink that was fundamental for setting the controllers' parameters. This tool allowed us to simulate and improve the OS4 controllers in different modeled environments and test different approaches. After that, the controllers were embedded in the real robot and the results proved to be very robust and feasible. In addition to this, the controller has the advantage of being compatible with future path planners that we are developing.

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Automatic design has become a common approach to evolve complex networks, such as artificial neural networks (ANNs) and random boolean networks (RBNs), and many evolutionary setups have been discussed to increase the efficiency of this process. However networks evolved in this way have few limitations that should not be overlooked. One of these limitations is the black-box problem that refers to the impossibility to analyze internal behaviour of complex networks in an efficient and meaningful way. The aim of this study is to develop a methodology that make it possible to extract finite-state automata (FSAs) descriptions of robot behaviours from the dynamics of automatically designed complex controller networks. These FSAs unlike complex networks from which they're extracted are both readable and editable thus making the resulting designs much more valuable.

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L'elaborato descrive il lavoro svolto in cinque mesi presso il Centro Protesi INAIL di Budrio (BO), che ha portato allo sviluppo di un banco prova per testare articolazioni elettromeccaniche. I dispositivi target, in particolare, sono stati due gomiti mioelettrici: il primo di produzione interna INAIL e il secondo prodotto da Selex ES in collaborazione con il Centro Protesi stesso. Per il controllo del movimento e l'acquisizione dei segnali elettrici si è scelto il PAC CompactRIO (National Instruments), mentre per le acquisizioni cinematiche di angolo e velocità angolare si è sfruttata la stereofotogrammetria.

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Con il passare degli anni le tecnologie nel campo delle protesi mioelettriche di arto superiore stanno compiendo sempre più passi in avanti. In questo elaborato di tesi si darà un iniziale introduzione sulla protesica di arto superiore cercando di coprire tutte le possibili tipologie di protesi, prestando particolare attenzione agli arti artificiali mioelettrici. Gli scopi di questo studio sono in prima analisi una miglioria dell'unità di controllo di una protesi comandata da segnali elettromiografici di superficie, tramite l'utilizzo del nuovo IDE della Microchip (MPLAB X). In seconda analisi, invece, si attuerà un confronto prestazionale a livello di consumo in corrente di un prototipo di protesi mioelettrica nata dalla sinergia tra l'azienda "Selex ES" e il "Centro Protesi INAIL di Vigorso di Budrio". Per questo studio ci si è serviti di stereofotogrammetrica per la determinazione delle grandezze meccaniche, mentre tramite un sistema PAC si è riusciti ad ottenere specifiche grandezze elettriche. Lo studio ha portato, a livello di Firmware, l'inserimento del giusto comando di attuazione di un servofreno comandato in corrente e l'introduzione di una particolare modalità a basso consumo che consente un risparmio energetico di circa il 60% rispetto alla vecchia modalità. Discorso diverso per i risultati del confronto prestazionale che non ha portato ai risultati sperati in fase di progetto.

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Questo documento presenta la relazione di una tesi in azienda svolta presso la ditta RCF spa a Reggio Emilia. La tesi consiste nell’apportare migliorie ad un software preesistente, che opera nel campo di dispositivi audio di diverse tipologie (es casse e mixer), i quali normalmente vengono utilizzati nel sistema d’impianto audio in un concerto. In particolare la nuova funzionalità sviluppata consiste nell’implementazione del protocollo di comunicazione tra controllore e PC mediante l’utilizzo di una connessione Ethernet.

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The 5th generation of mobile networking introduces the concept of “Network slicing”, the network will be “sliced” horizontally, each slice will be compliant with different requirements in terms of network parameters such as bandwidth, latency. This technology is built on logical instead of physical resources, relies on virtual network as main concept to retrieve a logical resource. The Network Function Virtualisation provides the concept of logical resources for a virtual network function, enabling the concept virtual network; it relies on the Software Defined Networking as main technology to realize the virtual network as resource, it also define the concept of virtual network infrastructure with all components needed to enable the network slicing requirements. SDN itself uses cloud computing technology to realize the virtual network infrastructure, NFV uses also the virtual computing resources to enable the deployment of virtual network function instead of having custom hardware and software for each network function. The key of network slicing is the differentiation of slice in terms of Quality of Services parameters, which relies on the possibility to enable QoS management in cloud computing environment. The QoS in cloud computing denotes level of performances, reliability and availability offered. QoS is fundamental for cloud users, who expect providers to deliver the advertised quality characteristics, and for cloud providers, who need to find the right tradeoff between QoS levels that has possible to offer and operational costs. While QoS properties has received constant attention before the advent of cloud computing, performance heterogeneity and resource isolation mechanisms of cloud platforms have significantly complicated QoS analysis and deploying, prediction, and assurance. This is prompting several researchers to investigate automated QoS management methods that can leverage the high programmability of hardware and software resources in the cloud.

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Nell'ottica di trovare modalità sempre più intuitive per movimentare manipolatori industriali l’obiettivo della tesi è quello di realizzare una mobile app su piattaforma Android in grado appunto di movimentare un generico manipolatore industriale. L'applicazione sviluppata fornisce all'utente un’interfaccia semplice e intuitiva che permette, dopo un’opportuna configurazione iniziale, di controllare il moto di un manipolatore industriale attraverso l’uso del touch screen e degli elementi grafici dell’interfaccia. Oltre a istruire un manipolatore l’applicazione offre anche delle funzionalità per il salvataggio e la gestione di determinate configurazioni che il manipolatore può assumere nello spazio. Il grande vantaggio dell’applicazione è quello di fornire un’interfaccia universale per la movimentazione di qualsiasi manipolatore. Si può affermare quindi che essa fornisce un livello di astrazione superiore. In questo progetto di tesi è stato effettuato il testing dell'applicazione sviluppata sia con il manipolatore industriale Comau Smart Six, robot antropomorfo a 6 gradi di libertà, sia con un manipolatore simulato in Unity 3D. Sono stati raccolti dei dati, in particolare dei grafici, che mettono in relazione i comandi impartiti al manipolatore e i dati ricevuti da questo, in modo da ricavarne dei parametri che misurano l'efficienza e la correttezza dell'applicazione.

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Occupational diisocyanate-induced extrinsic allergic alveolitis (EAA) is a rare and probably underestimated diagnosis. Two acute occupational EAA cases have been described in this context, but neither of them concerned hexamethylene diisocyanate (HDI) exposure.

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A novel adaptive approach for glucose control in individuals with type 1 diabetes under sensor-augmented pump therapy is proposed. The controller, is based on Actor-Critic (AC) learning and is inspired by the principles of reinforcement learning and optimal control theory. The main characteristics of the proposed controller are (i) simultaneous adjustment of both the insulin basal rate and the bolus dose, (ii) initialization based on clinical procedures, and (iii) real-time personalization. The effectiveness of the proposed algorithm in terms of glycemic control has been investigated in silico in adults, adolescents and children under open-loop and closed-loop approaches, using announced meals with uncertainties in the order of ±25% in the estimation of carbohydrates. The results show that glucose regulation is efficient in all three groups of patients, even with uncertainties in the level of carbohydrates in the meal. The percentages in the A+B zones of the Control Variability Grid Analysis (CVGA) were 100% for adults, and 93% for both adolescents and children. The AC based controller seems to be a promising approach for the automatic adjustment of insulin infusion in order to improve glycemic control. After optimization of the algorithm, the controller will be tested in a clinical trial.

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BACKGROUND: In contrast to hypnosis, there is no surrogate parameter for analgesia in anesthetized patients. Opioids are titrated to suppress blood pressure response to noxious stimulation. The authors evaluated a novel model predictive controller for closed-loop administration of alfentanil using mean arterial blood pressure and predicted plasma alfentanil concentration (Cp Alf) as input parameters. METHODS: The authors studied 13 healthy patients scheduled to undergo minor lumbar and cervical spine surgery. After induction with propofol, alfentanil, and mivacurium and tracheal intubation, isoflurane was titrated to maintain the Bispectral Index at 55 (+/- 5), and the alfentanil administration was switched from manual to closed-loop control. The controller adjusted the alfentanil infusion rate to maintain the mean arterial blood pressure near the set-point (70 mmHg) while minimizing the Cp Alf toward the set-point plasma alfentanil concentration (Cp Alfref) (100 ng/ml). RESULTS: Two patients were excluded because of loss of arterial pressure signal and protocol violation. The alfentanil infusion was closed-loop controlled for a mean (SD) of 98.9 (1.5)% of presurgery time and 95.5 (4.3)% of surgery time. The mean (SD) end-tidal isoflurane concentrations were 0.78 (0.1) and 0.86 (0.1) vol%, the Cp Alf values were 122 (35) and 181 (58) ng/ml, and the Bispectral Index values were 51 (9) and 52 (4) before surgery and during surgery, respectively. The mean (SD) absolute deviations of mean arterial blood pressure were 7.6 (2.6) and 10.0 (4.2) mmHg (P = 0.262), and the median performance error, median absolute performance error, and wobble were 4.2 (6.2) and 8.8 (9.4)% (P = 0.002), 7.9 (3.8) and 11.8 (6.3)% (P = 0.129), and 14.5 (8.4) and 5.7 (1.2)% (P = 0.002) before surgery and during surgery, respectively. A post hoc simulation showed that the Cp Alfref decreased the predicted Cp Alf compared with mean arterial blood pressure alone. CONCLUSION: The authors' controller has a similar set-point precision as previous hypnotic controllers and provides adequate alfentanil dosing during surgery. It may help to standardize opioid dosing in research and may be a further step toward a multiple input-multiple output controller.