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Fuzzy Anti-windup Compensator Design for Linear Active Disturbance Rejection Control

机译:线性有源干扰抑制的模糊抗饱和补偿器设计

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Aiming at the problem that it's hard for the constant coefficient compensator to effectively compensate strong nonlinear systems, a fuzzy anti-windup compensator is proposed in this paper. The error between controller's and actuator's outputs, and error derivative are used as inputs for fuzzy compensator. The error compensation coefficient is adjusted in a fuzzy manner. Applied in a permanent magnet DC motor servo system, the results show that the fuzzy compensator can reduce resources occupancy and improve dynamic characteristics significantly. The overshoot of step response reduces by 23 %, and the adjustment time (2% error band) is shortened by 0.8s than that in usual cases. Compared with the constant coefficient compensator, the fuzzy compensator performs better in transient stability and robustness, which is a feasible solution for anti-windup problem.
机译:针对恒系数补偿器难以有效补偿强非线性系统的问题,提出了一种模糊抗饱和补偿器。控制器和执行器输出之间的误差以及误差导数用作模糊补偿器的输入。误差补偿系数以模糊方式调整。结果表明,该模糊补偿器可以有效地减少资源占用,改善动态特性。与通常情况相比,阶跃响应的过冲减少了23%,调整时间(2%误差带)缩短了0.8s。与恒定系数补偿器相比,模糊补偿器在暂态稳定性和鲁棒性方面表现更好,这是解决抗饱和问题的可行方案。

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