Recurrent Fuzzy Wavelet Neural Network to Control a PCV

Abstract

Pneumatic Control Valves (PCV) are used in the process industries. In this paper, a Recurrent Fuzzy Wavelet Neural Network (RFWNN) is constructed by using Recurrent Wavelet Neural Network (RWNN). In RWNN, temporal relations are embedded in the network by adding feedback connections on the first layer of the network, and wavelet basis n is used as fuzzy membership function. The proposed method is applied on a PCV. P, PI and PID controllers are also employed For comparison. Bondgraph method has been utilized to model the control valve, so as to compare the response characteristics of valve. Simulation results have been made for four controllers.