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基于L.A.ZADEH与E.H.MAMDAN的模糊控制原理,为微机实现方便,本文以具有解析式的模糊控制器为研究重点。通过对常规模糊控制器(FC)设计过程及控制机理分析后,提出了一种具有误差增量模糊化因子(EIFF)的专家控制器,解决了常规模糊控制器静、动态不能兼顾的缺点,常规仿真及变结构仿真证明,该控制器无论对于对象参数变化、结构变化还是系统白噪声、观测白噪声都具有很强的适应能力,控制策略具有一定的工程实用价值。最后给出了进一步的研究结果概要。
Based on the principle of fuzzy control of L.A.ZADEH and E.H.MAMDAN, this paper focuses on the convenience of microcomputer. By analyzing the design process and control mechanism of conventional fuzzy controller (FC), an expert controller with error incremental fuzzy factor (EIFF) is proposed to solve the shortcomings that conventional fuzzy controller can not balance static and dynamic. Conventional simulation and variable structure simulation show that the controller has strong adaptability both for object parameter change, structural change, white noise of the system and observation white noise. The control strategy has certain engineering practical value. Finally, a summary of the results of further research is given.