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It is difficult to get classic PID controller??s precise paramerers, and PID control method is based on the precise mathematical model, it??s adaptiveability is poor. PID control method is not adaptive to nonlinear and time-variant plants. It is impossible to insure the accuracy of the system. A method of compound control based on RBF neural network and PID is stated in this paper. This method is...
Three-phase AC/DC converter is widely used in many industrial applications. To improve performance, this paper proposes an adaptive neural network based controller design for three-phase PWM AC/DC voltage source converters. The controller is designed based on a nonlinear multi-input multi-output model using Lyapunovpsilas direct method. Since neural networks can approximate unknown nonlinear dynamics,...
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