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The flight simulator is a kind of servo system with uncertainties and disturbances. To obtain high performance and good robustness for the flight simulator, we present an adaptive backstepping controller, which is robust to the parameter uncertainties and load disturbances. First, the model of the flight simulator with parameter uncertainties and load torque disturbances is proposed based on experiment...
In this paper, the problem of model reference adaptive sliding mode control for a class of perturbed uncertain systems is investigated. An integral sliding surface design is proposed by adding an integral term into the linear sliding surface. The additional integral in the proposed sliding surface provides one more degree of freedom and also reduce the steady-state error. Based on the Lyapunov stability...
This paper proposes an adaptive fuzzy sliding-mode controller with proportional-integral learning algorithm (PI-AFSMC) for the unknown nonlinear systems. All the controller parameters are on-line tuned by the derived learning algorithms in the Lyapunov stability theorem, thus the stability of the system can be guaranteed. Finally, the proposed PI-AFSMC is applied to control a linear piezoelectric...
This paper proposes an adaptive fuzzy controller (AFC) with a proportional-integral (PI) learning algorithm for an induction servomotor. The proposed AFC is comprised of a fuzzy controller and a robust controller. The fuzzy controller is to mimic an ideal controller and the robust controller is to dispel the effect of the approximation error between the fuzzy controller and the ideal controller. All...
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