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目前常用的自适应模糊控制器存在控制精度不高和调整时间长等问题。变论域自适应模糊控制器能够显著提高控制精度并缩短其调整时间,但其控制效果对一组完备的初始模糊规则的依赖,限制了其应用的范围。针对上述问题,本文提出了一种推理规则前件论域可变,后件峰点自适应的自适应模糊控制器。Lyapnuov综合分析法证明新的控制器具有全局稳定性,并通过仿真实验表明,新控制器不仅能够提高控制精度,而且较为合理地回避了对初始模糊规则的依赖性,扩展了变论域模糊控制的适用范围。
At present, the commonly used adaptive fuzzy controller has the problems of low control precision and long adjustment time. Variable universe adaptive fuzzy controller can significantly improve the control accuracy and shorten the adjustment time, but its control effect on a complete set of initial fuzzy rules, which limits the scope of its application. In view of the above problems, this paper presents an adaptive fuzzy controller with variable predecessor domain and adaptive peak point adaptation of the following components. Lyapnuov comprehensive analysis proves the global stability of the new controller. Simulation results show that the new controller can not only improve the control accuracy, but also avoid the dependence on the initial fuzzy rule more reasonably and extend the variable universe fuzzy control The scope of application.