Reconstructing Dynamics of Fuzzy PID Controller Based on Elman NN

摘要

Fuzzy PID controller is difficult in implementation for its computational complexity. In this paper, for the dynamic modeling and parallel computation ability of Elman NN (Neural Network), the authors utilized an equivalent Elman NN to accurately approximate the dynamics of a known fuzzy PID controller.Consequently, the same process model was controlled by the fuzzy PID controller and the remodeling Elman NN, respectively. The results show that the control qualities of two different controllers were extremely similar. Thus, the fuzzy PID controller can be simplified to a remodeling Elman NN in purpose of reducing the computational complexity, solving the curse of dimensionality and improving the real-time performance.