COMPUTER AIDED ENGINEERING OF FUZZY CONTROL SYSTEMS

Abstract

Designing a fuzzy control system involves four phases: design, simulation, proto­ typing and real-time test. Both the design and the real-time implementation are difficult for novice. Therefore fuzzy control has not been widely used by control engineers even though its effectiveness has been proven by successful applications in industrial systems and modern day domestic systems. The thesis addresses the above difficulties by developing a CAE (Computer Aided Engineering) platform as a solution for fuzzy control System design and real-time implementation. Before presenting such a platform, the principle of fuzzy control is explained from which the design procedure for fuzzy control is induced. The complexity in the design procedure leads to the idea of CAE platform for fuzzy control system. The concepts for the CAE platform are clarified and essential issues about the platform are discussed. Based on the clarified concepts, and targeted a.t facilitating the fuzzy control design and real-time implementation, the platform is developed with both software and hardware components to provide an integrated environment for the four phases of fuzzy control system design. The platform has been tested on both small-scale and large-scale industrial processes. In the small-scale testing case, the pH neutralization control system is easily set up on the platform, and the control system performance appears to be excellent. In the large-scale testing case, the platform is applied to ASVG (Advanced Static Var Generator) control in power system. The design procedure for the ASVG control system reflects the approach to incorporate the CAE concept into fuzzy control system design.