The Experts below are selected from a list of 51690 Experts worldwide ranked by ideXlab platform
Friedrich Wilhelm Fuchs - One of the best experts on this subject based on the ideXlab platform.
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current sensor fault detection isolation and reconfiguration for doubly fed induction generators
IEEE Transactions on Industrial Electronics, 2009Co-Authors: Kai Rothenhagen, Friedrich Wilhelm FuchsAbstract:Fault tolerance is gaining growing interest to increase the reliability and availability of distributed energy sources. Current sensor fault detection, isolation, and reconfiguration are presented for a voltage-oriented controlled doubly fed induction generator, which is mainly used in wind turbines. The focus of this analysis is on the isolation of the faulty sensor and the actual reconfiguration. During a short period of open-Loop Operation, the fault is isolated by looking at residuals calculated from observed and measured signals. Then, replacement signals from observers are used to reconfigure the drive and reenter closed-Loop control. Laboratory measurement results are included to prove that the proposed concept leads to good results.
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Doubly fed induction generator model-based sensor fault detection and control Loop reconfiguration
IEEE Transactions on Industrial Electronics, 2009Co-Authors: Kai Rothenhagen, Friedrich Wilhelm FuchsAbstract:Fault tolerance is gaining interest as a means to increase the reliability and availability of distributed energy systems. In this paper, a voltage-oriented doubly fed induction generator, which is often used in wind turbines, is examined. Furthermore, current, voltage, and position sensor fault detection, isolation, and reconfiguration are presented. Machine Operation is not interrupted. A bank of observers provides residuals for fault detection and replacement signals for the reconfiguration. Control is temporarily switched from closed Loop into open-Loop to decouple the drive from faulty sensor readings. During a short period of open-Loop Operation, the fault is isolated using parity equations. Replacement signals from observers are used to reconfigure the drive and reenter closed-Loop control. There are no large transients in the current. Measurement results and stability analysis show good results.
Basil Kouvaritakis - One of the best experts on this subject based on the ideXlab platform.
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an active set solver for input constrained robust receding horizon control
Automatica, 2014Co-Authors: Johannes Buerger, Mark Cannon, Basil KouvaritakisAbstract:An efficient optimization procedure is proposed for computing a receding horizon control law for linear systems with linearly constrained control inputs and additive disturbances. The procedure uses an active set approach to solve the dynamic programming problem associated with the min-max optimization of an H ∞ performance index. The active constraint set is determined at each sampling instant using first-order necessary conditions for optimality. The computational complexity of each iteration of the algorithm depends linearly on the prediction horizon length. We discuss convergence, closed Loop stability and bounds on the disturbance l 2 -gain in closed Loop Operation.
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an active set solver for input constrained robust receding horizon control
Conference on Decision and Control, 2011Co-Authors: Johannes Buerger, Mark Cannon, Basil KouvaritakisAbstract:An efficient optimization procedure is proposed for computing a receding horizon control law for linear systems with constrained control inputs and additive disturbances. The procedure uses an active set method to solve the dynamic programming problem associated with the min-max optimization of a predicted cost. The active set at the solution is determined at each sampling instant as a function of the current system state using the first-order necessary conditions for optimality. The computational complexity of each iteration is linear in the length of the prediction horizon. We discuss conditions for stability and bounds on state and input l 2 -norms in closed Loop Operation.
A K S Bhat - One of the best experts on this subject based on the ideXlab platform.
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a simple single input single output siso model for a three phase pwm rectifier
IEEE Transactions on Power Electronics, 2009Co-Authors: R Oruganti, S K Panda, A K S BhatAbstract:The challenge in controlling a three-phase pulsewidth modulation (PWM) rectifier under balanced conditions arises from the fact that the state-space averaged model reported in literature has a multi-input-multi-output nonlinear structure and furthermore exhibits a nonminimum phase feature. In this paper, a simple single-input-single-output model is constructed by separating the d -axis and the q-axis dynamics through appropriate nonlinear feedforward decoupling while maintaining nearly unity power factor Operation. With the proposed model, the nonminimum phase feature inherent in an AC-to-DC rectifier becomes a simple right-half-plane zero appearing in the small-signal control-to-output transfer function. In addition, the model exhibits a close similarity to a DC-DC boost converter under both large-signal and small-signal operating conditions. This makes it possible to extend the system analysis and control design techniques of DC-DC converters to the three-phase PWM rectifier also. The validity of the proposed model has been verified experimentally in the frequency domain under open-Loop Operation of the PWM rectifier. The usefulness of the model is further demonstrated through closed-Loop Operation of the rectifier with both voltage mode and inner-current-Loop-based schemes.
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small signal analysis of the lcc type parallel resonant converter using discrete time domain modeling
IEEE Transactions on Industrial Electronics, 1995Co-Authors: Vivek Agarwal, A K S BhatAbstract:Discrete state-space modeling of the LCC-type parallel resonant power converter is presented. Using these large signal equations, small signal modeling of the power converter is obtained. Multiple Loops have been used for the closed Loop Operation. State variable feedback control has been integrated with the linear small signal state-space model and the associated control aspects are studied. The small signal state-space model has been used to study the small signal behavior of the power converter for open Loop and closed Loop Operation for parameters like control to output transfer function, audio-susceptibility and output impedance. Key theoretical results have been experimentally verified.
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large signal analysis of the lcc type parallel resonant converter using discrete time domain modeling
Power Electronics Specialists Conference, 1994Co-Authors: Vivek Agarwal, A K S BhatAbstract:Discrete state space modeling of the LCC-type parallel resonant power converter is presented. Using these large signal equations, small signal modeling of the power converter is obtained. State variable feedback control has been integrated with the linear small signal state space model and the associated control aspects are studied. The small signal equivalent circuit model has also been obtained. The small signal state space model has been used to study the small signal behavior of the power converter for open Loop and closed Loop Operation for parameters like control to output transfer function, audio-susceptibility and output impedance. Theoretical results have been experimentally verified. >
Kai Rothenhagen - One of the best experts on this subject based on the ideXlab platform.
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current sensor fault detection isolation and reconfiguration for doubly fed induction generators
IEEE Transactions on Industrial Electronics, 2009Co-Authors: Kai Rothenhagen, Friedrich Wilhelm FuchsAbstract:Fault tolerance is gaining growing interest to increase the reliability and availability of distributed energy sources. Current sensor fault detection, isolation, and reconfiguration are presented for a voltage-oriented controlled doubly fed induction generator, which is mainly used in wind turbines. The focus of this analysis is on the isolation of the faulty sensor and the actual reconfiguration. During a short period of open-Loop Operation, the fault is isolated by looking at residuals calculated from observed and measured signals. Then, replacement signals from observers are used to reconfigure the drive and reenter closed-Loop control. Laboratory measurement results are included to prove that the proposed concept leads to good results.
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Doubly fed induction generator model-based sensor fault detection and control Loop reconfiguration
IEEE Transactions on Industrial Electronics, 2009Co-Authors: Kai Rothenhagen, Friedrich Wilhelm FuchsAbstract:Fault tolerance is gaining interest as a means to increase the reliability and availability of distributed energy systems. In this paper, a voltage-oriented doubly fed induction generator, which is often used in wind turbines, is examined. Furthermore, current, voltage, and position sensor fault detection, isolation, and reconfiguration are presented. Machine Operation is not interrupted. A bank of observers provides residuals for fault detection and replacement signals for the reconfiguration. Control is temporarily switched from closed Loop into open-Loop to decouple the drive from faulty sensor readings. During a short period of open-Loop Operation, the fault is isolated using parity equations. Replacement signals from observers are used to reconfigure the drive and reenter closed-Loop control. There are no large transients in the current. Measurement results and stability analysis show good results.
Johannes Buerger - One of the best experts on this subject based on the ideXlab platform.
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an active set solver for input constrained robust receding horizon control
Automatica, 2014Co-Authors: Johannes Buerger, Mark Cannon, Basil KouvaritakisAbstract:An efficient optimization procedure is proposed for computing a receding horizon control law for linear systems with linearly constrained control inputs and additive disturbances. The procedure uses an active set approach to solve the dynamic programming problem associated with the min-max optimization of an H ∞ performance index. The active constraint set is determined at each sampling instant using first-order necessary conditions for optimality. The computational complexity of each iteration of the algorithm depends linearly on the prediction horizon length. We discuss convergence, closed Loop stability and bounds on the disturbance l 2 -gain in closed Loop Operation.
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an active set solver for input constrained robust receding horizon control
Conference on Decision and Control, 2011Co-Authors: Johannes Buerger, Mark Cannon, Basil KouvaritakisAbstract:An efficient optimization procedure is proposed for computing a receding horizon control law for linear systems with constrained control inputs and additive disturbances. The procedure uses an active set method to solve the dynamic programming problem associated with the min-max optimization of a predicted cost. The active set at the solution is determined at each sampling instant as a function of the current system state using the first-order necessary conditions for optimality. The computational complexity of each iteration is linear in the length of the prediction horizon. We discuss conditions for stability and bounds on state and input l 2 -norms in closed Loop Operation.
