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Micro-Step Positioning of Stepper Motors using Model Reference Fuzzy Adaptive Control

机译:使用模型参考模糊自适应控制的步进电机的微步定位

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Stepper motors are widely used in high accuracy positioning systems. However, the open-loop performance of these systems is highly influenced by the parametric and load variations and disturbances in the system. To improve the robustness of these systems closed loop micro-step positioning of hybrid stepper motor using Model Reference Fuzzy Adaptive (MRFA) control is being proposed. A reference model, whose output response is regarded as ideal, is considered as the mean for designing a fuzzy adaptive controller. Simulation results show that the proposed controller provides excellent tracking and disturbance rejection with regard plant parameter uncertainties.
机译:步进电机广泛用​​于高精度定位系统。然而,这些系统的开环性能受到系统中参数和负载变化和干扰的高度影响。为了提高这些系统的鲁棒性,提出了使用模型参考模糊自适应(MRFA)控制的混合步进电机的闭环微步定位。将输出响应被视为理想的参考模型被认为是设计模糊自适应控制器的平均值。仿真结果表明,该控制器提供了优异的跟踪和扰动抑制,促进植物参数不确定性。

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