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Parallel structure and tuning of a fuzzy PID controller

机译:模糊PID控制器的并行结构和整定

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摘要

In this paper, a parallel structure of fuzzy PID control systems is proposed. It is associated with a new tuning method which, based on gain margin and phase margin specifications, determines the parameters of the fuzzy PID controller. In comparison with conventional PID controllers, the proposed fuzzy PID controller shows higher control gains when system states are away from equilibrium and, at the same time, retains a lower profile of control signals. Consequently, better control performance is achieved. With the proposed formula, the weighting factors of a fuzzy logic controller can be systematically selected according to the plant under control. By virtue of using the simplest structure of fuzzy logic control, the stability of the nonlinear control system can be analyzed and a sufficient BIBO stability condition is given. The superior performance of the proposed controller is demonstrated through an experimental example.
机译:提出了模糊PID控制系统的并行结构。它与一种新的调整方法相关,该调整方法基于增益裕度和相位裕度规格确定模糊PID控制器的参数。与传统的PID控制器相比,当系统状态不平衡时,所提出的模糊PID控制器显示出更高的控制增益,同时保持较低的控制信号轮廓。因此,获得了更好的控制性能。利用所提出的公式,可以根据受控工厂来系统地选择模糊逻辑控制器的加权因子。通过使用最简单的模糊逻辑控制结构,可以分析非线性控制系统的稳定性,并给出充分的BIBO稳定性条件。通过实验示例证明了所提出控制器的卓越性能。

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