Ondulações de torque devido à comutação de fases é apontada como a principal desvantagem do método de controle 6 pulsos convencional do motor síncrono de ímã permanente no rotor com força contra-eletromotriz trapezoidal. Para reduzir essas ondulações, diferentes estratégias de controle vetorial dessa máquina são apresentadas na literatura. Nesse trabalho é proposto e analisado o controle vetorial dessa máquina utilizando uma malha de controle de corrente baseada no Finite Control-Set Model-based Predictive Control (FCS-MPC). Como resultado, a estrutura de controle vetorial proposta é capaz de reduzir as ondulações de torque de comutação e também aquelas provenientes de imperfeições da força contraeletromotriz trapezoidal. Esse resultado é atingido sem a alteração da estrutura do conversor, adição de circuito ou alteração na tensão de barramento. Em termos de desempenho dinâmico, são demonstradas a rápida dinâmica de torque sem necessidade de sintonia ou projeto de ganhos de controlador e dinâmica desacoplada das variáveis de controle sem necessidade de cálculo de termos de desacoplamento. Esses resultados apontam vantagens sobre recentes propostas na literatura baseada em controladores lineares. Também é implementado uma estratégia de melhoria de desempenho do FCS-MPC baseado na inclusão do conceito de ciclo de trabalho. Essa abordagem permite reduzir significativamente, em baixa velocidade, a banda de ondulação da corrente de estator e torque da máquina, demonstrando uma melhoria em relação ao FCS-MPC sem ciclo de trabalho. / Torque ripples due to phase commutation are pointed to the main drawback of 120 degree 6 step control of synchronous motor with trapezoidal back electromotive force (back EMF). To reduce these ondulations, different vector control strategies are presented in the literature. This study proposes and analyzes the application of the Finite Control-Set Model-based Predictive Control in the current loop of vector control strategy of permanent magnet synchronous motor with trapezoidal back EMF. As a result, the control structure reduces the torque ripple comming from phase commutation and back EMF shape imperfections. This result is achieved without changing the converter topology, the DC link voltage or including aditional circuit. Concerning to dynamic response, the proposed control strategy offers fast torque dynamics without gain tunning needed and decoupled dynamic of variable control. Furthermore, it is implemented an improvement approach to FCS-MPC based on duty-cycle concept. This strategy reduces significantly the torque ripple in low speed range, demonstrating an advance over conventional FCS-MPC.

Ondulações de torque devido à comutação de fases é apontada como a principal desvantagem do método de controle 6 pulsos convencional do motor síncrono de ímã permanente no rotor com força contra-eletromotriz trapezoidal. Para reduzir essas ondulações, diferentes estratégias de controle vetorial dessa máquina são apresentadas na literatura. Nesse trabalho é proposto e analisado o controle vetorial dessa máquina utilizando uma malha de controle de corrente baseada no Finite Control-Set Model-based Predictive Control (FCS-MPC). Como resultado, a estrutura de controle vetorial proposta é capaz de reduzir as ondulações de torque de comutação e também aquelas provenientes de imperfeições da força contraeletromotriz trapezoidal. Esse resultado é atingido sem a alteração da estrutura do conversor, adição de circuito ou alteração na tensão de barramento. Em termos de desempenho dinâmico, são demonstradas a rápida dinâmica de torque sem necessidade de sintonia ou projeto de ganhos de controlador e dinâmica desacoplada das variáveis de controle sem necessidade de cálculo de termos de desacoplamento. Esses resultados apontam vantagens sobre recentes propostas na literatura baseada em controladores lineares. Também é implementado uma estratégia de melhoria de desempenho do FCS-MPC baseado na inclusão do conceito de ciclo de trabalho. Essa abordagem permite reduzir significativamente, em baixa velocidade, a banda de ondulação da corrente de estator e torque da máquina, demonstrando uma melhoria em relação ao FCS-MPC sem ciclo de trabalho. / Torque ripples due to phase commutation are pointed to the main drawback of 120 degree 6 step control of synchronous motor with trapezoidal back electromotive force (back EMF). To reduce these ondulations, different vector control strategies are presented in the literature. This study proposes and analyzes the application of the Finite Control-Set Model-based Predictive Control in the current loop of vector control strategy of permanent magnet synchronous motor with trapezoidal back EMF. As a result, the control structure reduces the torque ripple comming from phase commutation and back EMF shape imperfections. This result is achieved without changing the converter topology, the DC link voltage or including aditional circuit. Concerning to dynamic response, the proposed control strategy offers fast torque dynamics without gain tunning needed and decoupled dynamic of variable control. Furthermore, it is implemented an improvement approach to FCS-MPC based on duty-cycle concept. This strategy reduces significantly the torque ripple in low speed range, demonstrating an advance over conventional FCS-MPC.

Esta tese de doutorado propõe um controlador preditivo robusto tipo finite control set aplicado ao controle das potências do gerador de indução duplamente alimentado. Desta forma, a proposta possui dois membros do vetor tensão predita do rotor, sendo que o primeiro termo calcula a tensão considerando as referências de corrente do rotor e o segundo é projetado considerando os erros devido à estimação dos parâmetros da máquina. Os referidos erros devido a variações de parâmetros são modelados como alterações na corrente do rotor. O vetor de tensão a ser fornecido ao rotor da máquina é selecionado através da minimização de uma função custo. Os resultados obtidos na simulação computacional e em bancada experimental confirmam o desempenho do controlador proposto. / This Ph.D. thesis proposes a robust predictive controller type finite control set applied to control of the powers at doubly fed induction generator. In this way, the proposal has two members of the predicted voltage vector of the rotor, the first term calculating the voltage considering the rotor references current and the second one is projected considering the errors due to the estimation of the machine parameters. The errors due to variations parameter are modeled as changes in the rotor current. The voltage vector to be supplied to the machine rotor is selected by minimizing a cost function. The results obtained in the computational simulation and experimental bench confirm the performance of the proposed controller.

In this thesis, after a comprehensive literature review on different conventional and predictive torque control strategies for switched reluctance motor (SRM) drives, two online methods and one offline multi-objective optimization-based method are proposed to extend the operating speed range of finite control set model predictive torque control (FCS-MPTC) for SRM by adaptively controlling the commutation angles in the entire speed range. Furthermore, a method is proposed to minimize the steady state torque tracking error of FCS-MPTC for SRM drives. The incapability of the conventional FCS-MPTC in controlling the commutation angles, which is considered as one of the main drawbacks of the conventional FCS-MPTC, limits its application for high-speed torque control of SRM drives. The phase turn-off angle is always selected to be close to the aligned position with the conventional FCS-MPTC regardless of the operating speed. However, commutation angle advancement is required for high-speed torque control of SRM drives to limit the negative phase torque resulting from the current tail after the turn-off angle in the generating region. Excessive negative torque with the conventional FCS-MPTC at higher speeds can result in a degraded performance with high rms current, low average torque, high torque ripple, and reduced efficiency. The phase turn-off angle can be adaptively controlled as speed changes with the first online commutation angle control strategy proposed in this thesis. This method is based on predicting the free-wheeling phase current in an extended time interval which is much bigger than the prediction horizon of FCS-MPTC. The second online turn-off angle control method is also proposed by improving the optimality condition defined for determining the optimal turn-off angle. The optimality condition is determined by calculating the work done by the conducting phase after the phase is turned off. The weighting factor of the objective function of FCS-MPTC is kept constant with both proposed online methods. An offline multi-objective optimization-based strategy is proposed to determine the globally optimal turn-off angle and the weighting factor in the entire operating torque and speed ranges. The effectiveness of both proposed online methods and the offline commutation angle control strategy is verified using simulations and experimental results. The results are also compared to the conventional FCS-MPTC and the indirect average torque control with optimized conduction angles which is considered as one of the main conventional torque control strategies for SRM drives. In order to minimize the torque tracking error as a result of either parameter uncertainties or tracking multiple objectives with a single objective function with weighting factors, a method is proposed which is based on updating the reference torque at each sample time by calculating the average torque tracking error in the previous sample times. The validity of the proposed method is verified using simulations. / Thesis / Doctor of Philosophy (PhD)

Cette thèse vise à élaborer de nouvelles stratégies de commande basées sur la commande prédictive pour le système de génération d’énergie éolienne. La topologie des systèmes de production éolienne basées sur le Générateur Asynchrone à Double Alimentation (GADA) qui convient à des plateformes de génération dans la gamme de puissance de 1.5 à 6 MW est abordée. Du point de vue technologique, le convertisseur à trois niveaux et clampé par le neutre (3L-NPC) est considéré comme une bonne solution pour une puissance élevée en raison de ses avantages: capacité à réduire la distorsion harmonique de la tension de sortie et du courant, et augmentation de la capacité du convertisseur grâce à une tension réduite appliquée à chaque semi-conducteur de puissance. Une description détaillée de la commande prédictive à ensemble de commande fini (FCS-MPC) avec un horizon de prédiction de deux pas est présentée pour deux boucles de régulation: celle liée au convertisseur connecté au réseau et celle du convertisseur connecté au GADA. Le principe de la commande repose sur l’utilisation d’un modèle de prédiction permettant de prédire le comportement du système pour chaque état de commutation du convertisseur. La minimisation d’une fonction de coût appropriée prédéfinie permet d’obtenir la commutation optimale à appliquer au convertisseur. La thèse étudie premièrement les problèmes liées à la compensation du temps de calcul de la commande et au choix et aux pondérations de la fonction de coût. Ensuite, le problème de stabilité de la commande FCS-MPC est abordé en considérant une fonction de Lyapunov dans la minimisation de la fonction de coût. Finalement, une étude sur la compensation des effets des temps morts du convertisseur est présentée. / This thesis aims to elaborate new control strategies based on Model Predictive control for wind energy generation system. We addressed the topology of doubly fed induction generator (DFIG) based wind generation systems which is suitable for generation platform power in the range in 1.5-6 MW. Furthermore, from the technological point of view, the three-level neutral-point clamped (3L-NPC) inverter configuration is considered a good solution for high power due to its advantages: capability to reduce the harmonic distortion of the output voltage and current, and increase the capacity of the converter thanks to a decreased voltage applied to each power semiconductor.In this thesis, we presented a detailed description of finite control set model predictive control (FCS-MPC) with two step horizon for two control schemes: grid and DFIG connected 3L-NPC inverter. The principle of the proposed control scheme is to use system model to predict the behaviour of the system for every switching states of the inverter. Then, the optimal switching state that minimizes an appropriate predefined cost function is selected and applied directly to the inverter.The study of issues such as delay compensation, computational burden and selection of weighting factor are also addressed in this thesis. In addition, the stability problem of FCS-MPC is solved by considering the control Lyapunov function in the design procedure. The latter study is focused on the compensation of dead-time effect of power converter.

Model predictive control is a popular research focus in electric motor control as it allows designers to specify optimization goals and exhibits fast transient response. Availability of faster and more affordable computers makes it possible to implement these algorithms in real-time. Real-time implementation is not without challenges however as these algorithms exhibit high computational complexity. Field-programmable gate arrays are a potential solution to the high computational requirements. However, they can be time-consuming to develop for. In this thesis, we present a methodology that reduces the size and development time of field-programmable gate array based fixed-point model predictive motor controllers using automated numerical analysis, optimization and code generation. The methods can be applied to other domains where model predictive control is used. Here, we demonstrate the benefits of our methodology by using it to build a motor controller at various sampling rates for an interior permanent magnet synchronous motor, tested in simulation at up to 125 kHz. Performance is then evaluated on a physical test bench with sampling rates up to 35 kHz, limited by the inverter. Our results show that the low latency achievable in our design allows for the exclusion of delay compensation common in other implementations and that automated reduction of numerical precision can allow the controller design to be compacted. / Thesis / Master of Applied Science (MASc)