永磁直线同步电机伺服系统的分段变论域模糊迭代学习控制

发布时间：2018-03-26 09:48

  本文选题：永磁直线同步电机　切入点：迭代学习控制　出处：《电工技术学报》2017年23期

【摘要】：针对执行重复任务的永磁直线同步电机(PMLSM)在迭代学习过程中易受负载扰动、参数变化等非重复性扰动的影响而难以实现高性能跟踪控制的问题,提出了一种迭代学习控制(ILC)与变论域模糊控制相结合的分段变论域模糊ILC方法。在误差较大的时间段,采用变论域模糊控制实时地改变ILC的学习增益,并智能地调整模糊控制的论域,抑制不确定性因素对系统的影响,提高控制精度;在误差较小的时间段,采用PD型ILC,使学习增益稳定,进一步减小位置误差。实验结果表明,该控制方法可以有效地加快收敛速度,提高位置跟踪精度,并增强系统的鲁棒性。
[Abstract]:In order to solve the problem that PMLSM (permanent Magnet Linear synchronous Motor) performing repetitive tasks is easily affected by non-repetitive disturbances such as load disturbance and parameter change during iterative learning, it is difficult to achieve high performance tracking control. A piecewise variable domain fuzzy ILC method combining iterative learning control with variable domain fuzzy control is proposed. The variable domain fuzzy control is used to change the learning gain of ILC in real time when the error is large. The fuzzy control domain is adjusted intelligently, the influence of uncertain factors on the system is restrained, and the control precision is improved. In the period of small error, PD ILC is used to stabilize the learning gain and further reduce the position error. This control method can speed up the convergence speed, improve the precision of position tracking and enhance the robustness of the system.
【作者单位】： 沈阳工业大学电气工程学院;
【基金】：国家自然科学基金项目(51175349) 辽宁省自然科学基金项目(20170540677)资助
【分类号】：TM341;TM921.541
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本文编号：1667379