在生产过程中,有些控制对象用传统方法难以实现较好的自动控制。其困难来自于那些时变的、非线性的复杂系统,无法获得精确的数学模型,或虽然能获得数学模型而过于复杂。例如,微分方程的阶次过高,难以用PID调节规律实现控制,由操作人员凭借积累起来的经验,采取适当的对策往往能出色地完成控制任务。模糊智能控制就是模拟人的这种思维方法,对一些难以构数学模 In the production process, some control objects are difficult to achieve better automatic control by traditional methods. The difficulty comes from complex, time-varying and nonlinear systems that can not obtain accurate mathematical models or are complicated to obtain mathematical models. For example, the order of the differential equation is too high, so it is difficult to control with the PID regulation rule. The operator can take control of the task well by taking appropriate measures based on the accumulated experience. Fuzzy intelligent control is to simulate the human way of thinking, difficult to construct some mathematical model