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This thesis mainly proposes a new method to design Hinf Loop Shaping Robust Controller by choosing Weighting Function. In the paper, the author first introduces the concept of SISO Loop Shaping design. It utilizes Small Gain Theorem to achieve robust stability of the system and develops the relationship of Open Loop Transfer Function(L) to Robust Performance and to Robust Stability of the system.. These concepts can be extended to Hinf Loop Shaping method. As to Hinf loop shaping method, the author first introduces the problem of Robust Stability under the framework of Coprime Factor and the theory of Hinf Loop Shaping, and then discusses the relationship between stability margin and the different pole-zero system. Generally speaking, the control theories of the Loop Shaping are mainly used for making appropriate adjustments between the stability and performance of the system. Because the system can conform to the performance requirement through the choice of Weighting Function, the author proposes a new method toward MIMO system to design Hinf Loop Shaping Controller by choosing Weighting Function under the framework of Hinf Loop Shaping. Moreover, at the end of the paper,the author compares the result of the new method with that of the literature.

In this study, the implementation of modern control techniques, that can be used both for the stable recovery of the aircraft from the undesired high angle of attack flight state (stall) and the agile maneuvering of the aircraft in various air combat or defense missions, are performed. In order to accomplish this task, the thrust vectoring control (TVC) actuation is blended with the conventional aerodynamic controls. The controller design is based on the nonlinear dynamic inversion (NDI) control methodologies and the stability and robustness analyses are done by using robust performance (RP) analysis techniques. The control architecture is designed to serve both for the recovery from the undesired stall condition (the stabilization controller) and to perform desired agile maneuvering (the attitude controller). The detailed modeling of the aircraft dynamics, aerodynamics, engines and thrust vectoring paddles, as well as the flight environment of the aircraft and the on-board sensors is performed. Within the control loop the human pilot model is included and the design of a fly-by-wire controller is also investigated. The performance of the designed stabilization and attitude controllers are simulated using the custom built 6 DoF aircraft flight simulation tool. As for the stabilization controller, a forced deep-stall flight condition is generated and the aircraft is recovered to stable and pilot controllable flight regimes from that undesired flight state. The performance of the attitude controller is investigated under various high angle of attack agile maneuvering conditions. Finally, the performances of the proposed controller schemes are discussed and the conclusions are made.

Conselho Nacional de Desenvolvimento Científico e Tecnológico / This dissertation deals with the design of a robust current control loop applied to voltage source inverters connected to the grid thought LCL-filter used in distributed generation systems. The utilization of the LCL-filter bring the need of damping the characteristic resonance of the filter. Two alternatives are generally considered in the literature. The passive damping, that add a passive element, generally a resistor or a additional passive element in the filter circuit and the active damping, that introduce a specific controller in the inverter current control loop. The active damping present more flexibility in the implementation and do not present energy losses like passive damping, so is the preferred damping method in high power applications. The main challenge to the damping method is keep the performance and avoid instability and controllers interactions even when impedance variations occur in the grid. In this dissertation, are proposed two control schemes for achieve the active damping of the filter resonance. In the first one, a robust partial state feedback is derived to allocate the poles of the LCL-filter inside the unity ratio circle for a given grid impedance variation. The feedback gains are obtained by a LMI condition that assure robust pole location in a pre-establish region of the unity ratio circle. In the second method, is proposed a predictive state estimator based on the multirate observers theory. This estimator allow feeding back the estimated stated by the measure of only one state variable. Moreover, the predictive action of the observer, eliminate the time delay of the control loop improving the stability margins of the system. Experimental results of a setup of 10kW DSP based are presented. / Esta dissertação de mestrado trata do projeto de uma malha de controle de corrente robusta para inversores alimentados em tensão conectados à rede através de filtro-LCL, utilizados em sistemas de geração distribuída. A utilização do filtro-LCL traz consigo a necessidade do amortecimento adequado da ressonância característica deste filtro. Dois tipos de amortecimento são apresentados na literatura para solucionar este problema. O amortecimento passivo, que consiste na introdução de um resistor ou filtro passivo adicional no circuito e o amortecimento ativo, que é baseado na introdução de um controlador digital específico na malha de controle de corrente do inversor. O amortecimento ativo, por apresentar maior flexibilidade de implementação e não apresentar perdas de energia, é o método preferencialmente utilizado. O principal desafio na utilização do amortecimento ativo é manter um desempenho satisfatório na presença de incertezas na impedância da rede no ponto de conexão. Neste trabalho, são propostas duas técnicas de amortecimento ativo robusto. Na primeira delas, uma retroação parcial de estados robusta é obtida para alocar os pólos da planta numa região contida no círculo unitário para uma dada faixa de variação de impedância da rede. Os ganhos da retroação de estados são obtidos a partir de um sistema de desigualdades matriciais lineares (LMI), que garantem alocação robusta dos pólos do sistema afetado por incertezas paramétricas e por atraso de transporte. No segundo método é proposto um estimador preditivo de estados baseado em observadores por múltiplas amostras, que permite fazer a retroação de estados estimados a partir da medida de apenas um dos estados da planta. Além disso, elimina o atraso de transporte da implementação digital aumentando a robustez do sistema. Resultados experimentais de um inversor de 11 kW controlado por um DSP de ponto fixo, conectado à rede com um filtro-LCL são apresentados para validar as analises desenvolvidas e demonstrar o bom desempenho dos controladores propostos.

Negative-imaginary systems are broadly speaking stable and square (equal number of inputs and outputs) systems whose Nyquist plot lies underneath (never touches for strictly negative-imaginary systems) the real axis when the frequency varies in the open interval 0 to ∞. This class of systems appear quite often in engineering applications, for example, in lightly damped flexible structures with collocated position sensors and force actuators, multi-link robots, DC machines, active filters, etc. In this thesis, robustness analysis and controller synthesis methods for uncertain negative-imaginary systems are explored. Two new reformulation techniques are proposed that facilitate both the robustness analysis and controller synthesis for uncertain negative-imaginary systems. These reformulations are based on the transformation from negative-imaginary systems to a bounded-real framework via the positive-real property. In the presence of strictly negative-imaginary uncertainty, the robust stabilization problem is posed in an equivalent H∞ control framework; similarly, a negative-imaginary robust performance analysis problem is cast into an equivalent μ-framework. The latter framework also allows robust stability analysis when the perturbations are a mixture of bounded-real and negative-imaginary uncertainties. The proposed two techniques pave the way for existing H∞ control and μ theory to be applied to robustness analysis and controller synthesis for negative-imaginary systems. In addition, a static state-feedback synthesis method is proposed to achieve robust stability of a system in the presence of strictly negative-imaginary uncertainties. The method is developed in the LMI framework, which can be solved efficiently using convex optimization techniques. The controller synthesis method is based on the negative-imaginary stability theorem: a positive feedback interconnection of two negative-imaginary systems is internally stable if and only if the DC loop gain is contractive and at least one of the systems in the interconnected loop is strictly negative-imaginary. Also, in order to handle non-strict negative-imaginary uncertainties, a strongly strictly negative-imaginary lemma is proposed that helps to ensure the strictly negative-imaginary property of the nominal closed-loop system for robustness. To this end, a state-space characterization for strictly negative-imaginary property is given for non-minimal systems where the conditions are convex and hence numerically attractive. The results in this thesis hence facilitate both the robustness analysis and controller synthesis for negative-imaginary systems that quite often arise in practical scenarios. In addition, they can be applied to quantify the worse-case performance for this class of systems. Therefore, the proposed results have important implications in controller synthesis for uncertain negative-imaginary systems that achieve not only robust stabilization but also robust performance.

For decades researchers have studied the duality of hashing and sorting for the implementation of the relational operators, especially for efficient aggregation. Depending on the underlying hardware and software architecture, the specifically implemented algorithms, and the data sets used in the experiments, different authors came to different conclusions about which is the better approach. In this paper we argue that in terms of cache efficiency, the two paradigms are actually the same. We support our claim by showing that the complexity of hashing is the same as the complexity of sorting in the external memory model. Furthermore we make the similarity of the two approaches obvious by designing an algorithmic framework that allows to switch seamlessly between hashing and sorting during execution. The fact that we mix hashing and sorting routines in the same algorithmic framework allows us to leverage the advantages of both approaches and makes their similarity obvious. On a more practical note, we also show how to achieve very low constant factors by tuning both the hashing and the sorting routines to modern hardware. Since we observe a complementary dependency of the constant factors of the two routines to the locality of the input, we exploit our framework to switch to the faster routine where appropriate. The result is a novel relational aggregation algorithm that is cache-efficient---independently and without prior knowledge of input skew and output cardinality---, highly parallelizable on modern multi-core systems, and operating at a speed close to the memory bandwidth, thus outperforming the state-of-the-art by up to 3.7x.