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Robust stability of fuzzy control systems based on conicity conditions

机译:基于锥度条件的模糊控制系统的鲁棒稳定性

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This paper deals with the robust stability problem for a feedback system with a fuzzy controller. The problem is treated using the small-gain and conicity criteria for nonlinear stability. Robustness is addressed in terms of multiplicativeperturbations and stability margins. Compensator design is based on an initial set of rules (the previous design), reflecting an approximate formulation of the desired performance. The previous design is refined and modified to achieve a prescribedrobustness margin. We impose in the design procedure that the required changes have to be as small as possible. In this way, the final solution is the better compromise between performance and robust stability. The redesign is based on inequalities on the fuzzy parameters (output centroids) that are derived from small-gain stability conditions. An application example is presented, for a simulated exponential frictional model of a DC servo motor.
机译:本文研究了带有模糊控制器的反馈系统的鲁棒稳定性问题。使用小增益和圆锥度准则来解决该问题,以实现非线性稳定性。鲁棒性是通过乘性扰动和稳定性余量来解决的。补偿器设计基于一组初始规则(先前的设计),反映了所需性能的近似公式。对先前的设计进行了改进和修改,以达到规定的鲁棒性余量。在设计过程中,我们要求所需的更改必须尽可能小。这样,最终的解决方案是性能与鲁棒稳定性之间的更好折衷。重新设计基于从小增益稳定性条件得出的模糊参数(输出质心)的不等式。给出了一个应用实例,用于模拟直流伺服电动机的指数摩擦模型。

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