The Status and Future Development of Fuzzy Logic Control System
Kuang-Hai King · 1992
The fuzzy control system have already been applied to various industrial processes. The fuzzy closed loop system may consist of controllers and controlled process models. The controlled process models may be represented using mathematical, statistic of fuzzy methods. The controller usually includes all or parts of three elements: fuzzifier, fuzzy rule controller, defuzzifier. The fuzzy controller may be implemented by a look-up table, a relation matrix or a rule-base of an expert system. The control algorithm may be PI form or any other control forms. However there are many different approaches to implement the fuzzy logic control system: fuzzy optimal control, Look-up table fuzzy logic controller, fuzzy discretization and direct activation of the control rules, fuzzy system, equations solving, expert fuzzy control system, and adaptive fuzzy logic control system. In the future, the fuzzy control system design/tuning procedure, fuzzy-neural hybrid system will be developed. The fuzzy logic control will combine conventional methods and be a part of conventional control system.