Orientador: Edvaldo Assunção / Resumo: Este trabalho aborda o controle via realimentação estática de saída aplicado à sistemas lineares com parâmetro variante (LPV) e lineares incertos invariantes no tempo (LIT). O projeto de ganhos de realimentação estática de saída apresentado neste trabalho é baseado no método dos dois estágios, o qual consiste em primeiramente obter um ganho de realimentação de estados, e então, utilizar esta informação no segundo estágio para obter-se o ganho de realimentação estática de saída desejado. As soluções para os problemas investigados são apresentadas na forma de desigualdades matriciais lineares (no inglês, linear matrix inequalities, LMIs), obtidas por meio da aplicação do Lema de Finsler. Baseado em resultados anteriores encontrados na literatura, este trabalho propõe uma estratégia de relaxação de forma a obter um método menos conservador para obtenção de ganhos robustos de realimentação estática de saída para sistemas incertos LTI. Na estratégia proposta, as variáveis adicionais do Lema de Finsler são consideradas como dependentes de parâmetro, juntamente com o uso de funções de Lyapunov dependentes de parâmetro (no inglês, parameter-dependent Lyapunov functions, PDLFs). É apresentado um estudo avaliando a eficácia da estratégia proposta em fornecer uma maior região de factibilidade para um dado problema. Os resultados foram utilizados em uma comparação com um método de relaxação baseado apenas no uso de PDLFs. Uma segunda contribuição deste trabalho consiste na proposta de um... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The static output feedback (SOF) control applied to linear parameter-varying (LPV) and uncertain linear time-invariant (LTI) systems are addressed in this work. The approach chosen for the design of SOF gains is based on the two-stage method, which consists in obtaining a state feedback gain at first, and then using that information for deriving the desired SOF gain at the second stage. The solutions for the investigated problems are presented in terms of linear matrix inequalities (LMIs), obtained by means of the application of the Finsler's Lemma. Based on previous papers found in literature, this work proposes a relaxation strategy in order to achieve a less conservative method for obtaining robust SOF gains for uncertain LTI systems. In the proposed strategy, the Finsler's Lemma additional variables are considered to be parameter-dependent along with the use of parameter-dependent Lyapunov functions (PDLFs). A study evaluating the effectiveness of the proposed strategy in providing a larger feasibility region for a given problem is presented. The results were used in a comparison with a relaxation method based only on PDLFs. Another contribution of this work lies in the proposal of a solution for the control of LPV systems via the design of a gain-scheduled SOF controller. The methods proposed for both control problems were applied on the design of controllers for an active suspension system. In the experiments, it was assumed that only one of its four system's states wer... (Complete abstract click electronic access below) / Mestre

The aeration process is often the single largest consumer of electricity in a wastewater treatment plant. Aeration in biological reactors provides microorganisms with oxygen which is required to convert ammonium to nitrate. Ammonium is toxic for aqueous ecosystems and contributes to eutrophication. The importance of aeration for the treatment results in combination with the high costs motivates automatic control of the aeration process. This thesis is devoted to ammonium feedback control in municipal wastewater treatment plants. With ammonium feedback control, the aeration intensity is changed based on a measurement of the outlet ammonium concentration. The main focus of the thesis is design, implementation, evaluation and improvement of ammonium PI (proportional-integral) controllers. The benefits of ammonium feedback control are established through long-term experiments at three large wastewater treatment plants in Stockholm, Sweden. With ammonium feedback control, energy savings up to around 10 % were achieved compared to keeping the dissolved oxygen concentration constant. The experiments generated several lessons learned with regard to implementation and evaluation of controllers in full-scale operation. The thesis has established guidelines on how to design ammonium feedback controllers for situations when cost-effective operation is the overall aim. Simulations have demonstrated the importance to limit the dissolved oxygen concentration in the process and under what conditions the energy saving with ammonium feedback control is large. The final part of the thesis treats improvements of ammonium PI control through minor modifications to the control structure or controller. Three strategies were studied: gain scheduling control, repetitive control, and a strategy reacting to oxygen peaks in the last aerobic zone. The strategies all had their benefits but the ammonium feedback controller was the key factor to improved aeration control.

Orientador: Edvaldo Assunção / Resumo: A principal contribuição dessa tese é propor a representação H2/Hoo do regulador linear quadrático (LQR) para sistemas lineares invariantes no tempo e incertos. A motivação está em atender simultaneamente a minimização da função custo garantido e dos efeitos de entradas exógenas. De início, apresenta-se uma revisão da formulação do problema LQR usando-se a função de Lyapunov quadrática e, posteriormente, sua extensão aos modelos de incertezas. Neste ponto, a literatura volta-se exclusivamente ao uso de funções de Lyapunov com uma única matriz P para testar a estabilidade de todo o domínio de incerteza politópica, que naturalmente conduz a algum conservadorismo. Em vista de reduzir o pressuposto conservadorismo explorou-se técnicas de relaxação matricial através de lemas consolidados na literatura, i.e. Lema de Finsler e Lema da Projeção Recíproca. As novas formulações de síntese robusta permitem obter condições suficientes em desigualdades matriciais lineares (LMIs) por meio de funções de Lyapunov dependentes de parâmetros, embora não considere os efeitos da perturbação no processo de síntese de controle. Logo, o estudo da rejeição à perturbações permitiu obter condições LMIs inéditas envolvendo as normas H2/Hoo . Adicionalmente, é proposto o estudo da robustez da planta em malha fechada, via descrição combinada de incertezas nas matrizes de estados e de entradas, e do controlador, aplicando técnicas de fragilidade via incertezas limitadas por norma. Por fim, propõe-se um mét... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The main contribution of this thesis is to propose the H2/Hoo representation of the Linear Quadratic Regulator (LQR) for linear time-invariant uncertain systems. The motivation is to achieve the minimization of guaranteed cost and the effects of exogenous inputs, simultaneously. Initially, a review of the LQR problem formulation using the quadratic Lyapunov function is presented and after, its extension to the uncertain models. At this point, the literature turns to the use of Lyapunov functions with only one matrix P to test the stability of the whole polytopic domain, which naturally leads to some conservatism. The proposed to reduce the assumption conservatism allowed to explore techniques of matrix relaxation through classic lemmas in the literature, i.e. Finsler and Reciprocal Projection lemmas. The new robust synthesis formulations allow to obtain sufficient conditions in Linear Matrix Inequalities (LMIs) control by means of parameter-dependent Lyapunov functions; however, do not consider the perturbation effects on the control synthesis process. Thus, the study of disturbance rejection allowed to obtain new sufficient conditions via mixed H2/Hoo control. Furthermore, robustness studies of the closed-loop plant are proposed based on a mixed representation of uncertainties in the state and input matrices, and the controller robustness, by applying non-fragile theories via norm-bounded uncertainty. Finally, an LQR gain scheduling control method applied to linear time-vary... (Complete abstract click electronic access below) / Doutor

Les principales contributions de cette thèse concernent le développement de méthodes pour la synthèse de contrôleurs et pour l'analyse de la stabilité des systèmes linéaires, soit variant ou invariant dans le temps. Concernant les systèmes invariant dans le temps, le but est la synthèse de contrôleurs robustes d'ordre réduit pour les systèmes en temps continu qui présentent des paramètres incertains. La méthode présentée pour la synthèse est basée sur une technique en deux étapes, où un gain de retour d'état est construit dans la première étape, et appliqué à la deuxième, fournissant le contrôleur robuste souhaité. Chaque étape consiste à la résolution de conditions sous la forme d'inégalités matricielles linéaires.Dans le cas des systèmes variant dans le temps, en général, en fonction des informations disponibles, deux modèles mathématiques peuvent être utilisés. D'un côté, pour des systèmes dont les éléments variant dans le temps sont bornés mais pas complètement connus, on peut utiliser des modèles dépendant de paramètres variants, ce qui donne une représentation polytopique. Dans ce cas là, la technique de stabilisation proposée est basée sur la méthode en deux étapes, pour générer des contrôleurs dépendants des paramètres. On suppose que les paramètres sont mesurables en ligne, et les contrôleurs sont synthétisés pour qu'ils soient robustes à des bruits de mesures. De l'autre côté, si les dynamiques variantes dans le temps sont connues, on peut traiter directement le système sans utiliser aucune paramétrisation. Deux techniques de synthèse sont proposées pour ce cas: la construction des gains stabilisants en utilisant directement la matrice de transition d'état, et une technique de synthèse conçue à partir d'un nouveau critère de vérification de la stabilité du système. La validité des méthodes proposées est illustrée par plusieurs exemples numériques, qui montrent la qualité des résultats qui peuvent être obtenus / The main contributions of this thesis concern the development of methods for the stability analysis and the synthesis of controllers for linear systems, either time-varying or time-invariant. Concerning time-invariant systems, the objective is the synthesis of reduced-order robust controllers for continuous-time systems presenting uncertain parameters. The method presented for the synthesis is based on a two-stages technique, in which a stabilizing state-feedback gain is constructed in the first stage and then applied on the second stage to search for the desired controller. Each stage consists in the resolution of conditions based on linear matrix inequalities. In the case of time-varying systems, depending on the amount of available information, twomathematical models may be used. On one hand, if the time-varying elements of the system are not entirely known, one can model the system as function of time-varying parameters, resulting on a polytopic representation. In this case, the stabilization method proposed is based on the two-stages technique, which yields parameter-dependent controllers. The parameters are supposed to be real-time measurable, and the controllers are robust with respect to noises and uncertainties on the measures. On the other hand, if the time-varying dynamics are known, the system may be directly handled without using any parameterization. Two synthesis techniques are proposed in this case: the construction of stabilizing gains by using the state transition matrix, and a synthesis technique derived from a new stability criterion for time-varying systems. The validity of the proposed methods is illustrated through numerical examples, that show the efficiency of the results that can be obtained