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对时变系统、非线性系统、信息缺乏及难于建立数学模型系统,如果这些系统不是太复杂的情况下,可用模糊数学理论设计一类控制器,对系统进行控制。简称模糊控制器(Fuzzy Controller或FC)。 它将操作者用自然语言描述的控制心理活动及思考智慧,通过模糊集理论及计算机的形式语言来实现自动控制过程。因此这类微机模糊控制是智能控制的一种形式。它与P1控制器比较具有阶跃响应速度快、过渡时间短、过程参数敏感度低、控制精度能满足一般工业要求等优点。 本文采用快速简化算法,使模糊控制计算简明扼要,节省机时及内存。并对FC的响应特性、敏感度及有关参数的影响与设计进行阐述和数字仿真。
For time-varying systems, nonlinear systems, lack of information and difficult to establish mathematical model system, if these systems are not too complicated case, the fuzzy mathematics theory can be used to design a class of controllers to control the system. Referred to the fuzzy controller (Fuzzy Controller or FC). It controls the mental activity and thinking wisdom described by the operator in natural language and realizes the automatic control process through the fuzzy set theory and the formal language of the computer. Therefore, this type of microcomputer fuzzy control is a form of intelligent control. Compared with the P1 controller, it has the advantages of fast step response, short transition time, low process parameter sensitivity and control precision to meet the requirements of general industry. In this paper, a fast and easy algorithm to make the fuzzy control calculation concise, saving machine time and memory. The influence and design of FC’s response characteristics, sensitivity and related parameters are also discussed.