This paper proposes a fault tolerant control scheme based on an unknown input observer for a wind turbine system subject to an actuator fault and disturbance. Firstly, an unknown input observer for state estimation and fault detection using a linear parameter varying model is developed. By solving linear matrix inequalities (LMIs) and linear matrix equalities (LMEs), the gains of the unknown input observer are obtained. The convergence of the unknown input observer is also analysed with Lyapunov theory. Secondly, using fault estimation, an active fault tolerant controller is applied to a wind turbine system. Finally, a simulation of a wind turbine benchmark with an actuator fault is tested for the proposed method. The simulation results indicate that the proposed FTC scheme is efficient.
In this paper, a derived piecewise continuous controller based method for an X-Y robot system trajectory tracking is proposed. The controller, which is based on the theory of particular hybrid systems called piecewise continuous systems characterized by autonomous switching and controlled impulses, uses only the robot's position measurement for feedback and does not require any identification work of the electromechanical system. The effectiveness and robustness of the method developed are analyzed theoretically and experimented with different type references on a real time X-Y robot system.
The paper deals with a new approach to synthesis of time-optimal control for a class of linear systems. It is based on decomposition of the time-optimal control problem into a class of decreasing order problems, and the properties and relations between the problems within this class. First, state-space properties of the problems are analyzed, and then the optimal control is obtained by using a multistage procedure avoiding the switching hypersurface description. The emphasis in this paper is put on the state-space analysis stage of the approach proposed.
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