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Output Feedback Tracking Control of MIMO Systems Using a Fuzzy Disturbance Observer and its Application to the Speed Control of a PM Synchronous Motor

机译:基于模糊干扰观测器的MIMO系统输出反馈跟踪控制及其在永磁同步电动机速度控制中的应用

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摘要

One of the most important objectives in the design of control systems is to achieve the good tracking performance in the presence of the internal parameter uncertainty and external disturbance. In this paper, a new multiple-input-multiple-output (MIMO) fuzzy disturbance observer (FDO) based on output measurement is developed to achieve the goal. A filtered signal is introduced to resolve the algebraic loop encountered in the conventional FDO. The contribution of the disturbance observation error ζ to updating the parameters of the fuzzy system is analyzed in the sense of L{sub}2 and L{sub}∞. Then, the MIMO FDO is modified and the high gain observer (HGO) is employed to implement the output tracking control system. It is shown in a rigorous manner that the disturbance observation error, the tracking error and the state observation error converge to a compact set of which size can be kept arbitrarily small. Finally, the suggested method is applied to the speed control of a permanent magnet synchronous motor (PMSM) in the presence of the internal parameter uncertainty and external disturbance. The effectiveness and the feasibility of the suggested method are demonstrated by computer simulation.
机译:控制系统设计中最重要的目标之一是在存在内部参数不确定性和外部干扰的情况下实现良好的跟踪性能。为了达到上述目的,本文提出了一种基于输出测量的新型多输入多输出(MIMO)模糊干扰观测器(FDO)。引入滤波后的信号以解决常规FDO中遇到的代数环路。从L {sub} 2和L {sub}∞的角度分析了扰动观测误差ζ对更新模糊系统参数的贡献。然后,修改MIMO FDO,并采用高增益观察器(HGO)来实现输出跟踪控制系统。严格地显示出,干扰观察误差,跟踪误差和状态观察误差收敛于一个紧凑集合,其大小可以任意地减小。最后,将所提出的方法应用于存在内部参数不确定性和外部干扰的永磁同步电动机(PMSM)的速度控制中。通过计算机仿真证明了该方法的有效性和可行性。

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