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Adaptive fuzzy PID controllers, combining fuzzy controllers which are highly adaptable with conventional PID controllers which have no control error, have been used in vector control systems of permanent synchronous machines(PMSM). In this paper, an adaptive fuzzy PID controller of which membership functions are dramatically improved is designed and applied to a PMSM. Then, simulation in Simulink...
A new second order sliding modes type-2 fuzzy controller for nonlinear uncertain perturbed systems is developed in this paper. To overcome the constraint on the knowledge of the system model, local models related to some operating points were used to synthesize a type-2 nominal fuzzy global model. For sliding modes, two adaptive fuzzy type-2 systems have been introduced to generate the two super twisting...
Advances in nonlinear control theory have provided the mathematical foundations necessary to establish conditions for stability of adaptive fuzzy controllers. In this paper, we dedicate to fuzzy control systems with the use of Popov's hyper-stability theory. We present a stability analysis method which provides useful information to the development of fuzzy control systems and give a comparative analysis...
An Adaptive Fuzzy PID Controller with Genetic Algorithm (GA) to tune its parameters is proposed by this paper. The task of the controller is to track the trajectory of a nonlinear system as best as it could. The Lyapunov's direct method is used as a tool for nonlinear system analysis and design. In which, the Lyapunov's linearization method is proven here to be useful for linear control. The paper...
Addressing to the difficulties in PID parameter tuning, low accuracy in temperature controlling and the dissatisfaction in high exactitude extrusion processing of the present PID controllers, a new kind of PID controller based on RBF neural network is proposed. It can not only obtain a higher accuracy in temperature controlling, but also infinitely approach the nonlinear system with quicker and more...
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