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Design of Fuzzy Based Iterative Learning Controllers for Induction Motor Drives

机译:感应电动机驱动器模糊基于迭代学习控制器的设计

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This paper investigates the feasibility and performance of applying fuzzy based iterative learning control algorithms in special control applications of induction motors. Based on different motor operating conditions, two control schemes are studied, i.e., proportional plus various iterative learning control algorithms (P+ILC) and proportional-integral plus various iterative learning control algorithms (PI+ILC) with the aid of on-line parameters tuning using a fuzzy controller. The performances of the proposed control schemes are compared with the conventional P- and PI-type controllers in terms of speed tracking errors and robustness when a periodic disturbance is encountered. In hardware implementations, several complex computational and signal processing tasks are accomplished using the TI DSP2812 chip. The simulation tasks and hardware implementation of controllers with various test examples are carried out via a personal computer, DSP and the VisSim software environment. Both simulation and experimental results are presented to show the performance of the proposed control scheme.
机译:本文调查了应用模糊基于迭代学习控制算法在感应电动机的特殊控制应用中的可行性和性能。基于不同的电动机操作条件,研究了两个控制方案,即比例加上各种迭代学习控制算法(P + ILC)和比例积分加上各种迭代学习控制算法(PI + ILC)借助于在线参数使用模糊控制器调整。在遇到周期性干扰时,将所提出的控制方案的性能与传统的P和PI型控制器进行比较,并且在速度跟踪误差和鲁棒性方面。在硬件实现中,使用Ti DSP2812芯片完成多个复杂的计算和信号处理任务。具有各种测试示例的控制器的模拟任务和硬件实现是通过个人计算机,DSP和Vissim软件环境执行的。提出了模拟和实验结果,以显示所提出的控制方案的性能。

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