FUZZY PID CONTROL WITH ACCELERATED REASONING FOR DC SERVO MOTORS

A fuzzy PID controller is synthesized from a collection of fuzzy IF-THEN rules. A fuzzy reasoning method is proposed for the implementation of control systems based on non-fuzzy microprocessors. The essential idea of the proposed method is to search the local active rules instead of the global rule base. Thus the reasoning is conveniently performed on a master cell, as a fuzzy accelerating kernel, which is transformed from an active fuzzy cell. The reasoning is simplified via adopting the algebraic product of fulfilment for the conditional connective and the weighted average for the rule sentence connective. The knowledge of PID control is also directly combined with fuzzy logic to design a smart fuzzy rule-base. The fuzzy PID control method can offer a practical control technology for industrial plants because its synthesis improves the flexibility of both design and implementation. The potential of the proposed algorithm is shown through a hardware experiment on a fuzzy control system of an Inland-QT6202C d. c. servo motor, implemented on an Intel8097 microprocessor.