Fuzzy Control to Non-minimal Phase Processes

Abstract

This paper presents a fuzzy control methodology to control non-minimal phase industrial processes. The integration between a simple fuzzy controller and Smith predictor gives a superior performance rather than using fuzzy logic controller only. The proposed fuzzy control methodology has been applied to control a fan and plate process in real time environment. The process under consideration contains a rich dynamics: time constant, transportation lag, resonant poles, non-linear characteristics and air turbulence. The obtained results showed that the proposed control methodology gives a superior performance rather than the use of fuzzy control only without dead time compensation. This paper is organized as follows: section 1 presents the motivation to use a simple fuzzy controller with a dead-time compensation in order to improve the control loop performance. Section 2 is devoted to the development of a fuzzy control with dead time compensation. In section 3, the real time application to control fan and plate process is demonstrated and the obtained results are presented. Some concluding remarks given in section 4 end the paper.