Remodeling of fuzzy PID controller based on dynamic NN

In order to utilize the advantages of fuzzy PID controller, reduce its computational delay and popularize its applications with hardware implementation, an equivalent Elman NN model with universal function approximating ability was utilized to accurately approach a known fuzzy PID controller. After that, the same plant model which was controlled by the fuzzy PID controller and the equivalent NN model were simulated with different reference inputs, respectively. Results demonstrate that control qualities from two different controllers were extremely similar. Therefore, the dynamics of fuzzy PID controller can be replaced by an equivalent Elman NN model, this method can enhance its implementation with parallel operation at VHDL language, so as to reduce the computational delay and improve the real-time performance.