Cascade Fuzzy Controller Using to Large Scale System

抄録

Fuzzy control behaves more robustness than conventional control that has been proved by many researches. A problem associated with the design of fuzzy control has been the size of the rule-base. As the number of system variable increases, the number of rules in a conventional complete rule set increases exponentially which will require the computer to process a huge data base, leading to memory overload and longer computational time. To make the problem manageable, cascade structure, in which the number of rules will increase linearly instead of exponentially with the number of system variables is proposed. This makes it possible to apply fuzzy rule based controllers to large scale system. On the other hand, cascade fuzzy controller is also an effective method to achieve a good performance such as robutness for a fuzzy control system. In this paper, the principle of cascade fuzzy controller is analyzed and its possibility and feasibility applying to large scale system have been discussed. Simulation results show the advantages of using the cascade structure fuzzy control to these models.