In many control applications, it has always been a challenge to the control engineer to control complex system or non-linear system. To overcome these difficulties this paper presents an improved fuzzy-set control method whose derivation is based on knowledge of variable control systems rather than operator's experience. Therefore, the proposed fuzzy controller is more simply designed, since a sliding curve (reference model) is utilized. The improved fuzzy-set controller which requires less computational time is proposed. A fuzzy control algorithm is, generally, used to implement linguistically expressed heuristic control policies. Then it is applied to controlling a temperature for an electric furnace. The resulting system, which has multi-structures, yields better control performance unrealized by linear controllers such as a PID controller.
IMPROVED FUZZY-SET TEMPERATURE DISTRIBUTION CONTROL FOR ELECTRIC FURNACE
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