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GA-based multiobjective PID control for a linear brushless DC motor

机译:基于遗传算法的线性无刷直流电动机多目标PID控制

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摘要

This paper presents a robust output tracking control design method for a linear brushless DC motor with modeling uncertainties. Two frequency-domain specifications directly related to the mixed sensitivity function and control energy consumption are imposed to ensure stability and performance robustness. With regard to time-domain specifications, the rise time, maximum overshoot and steady-state error of the step response are considered. A generalized two-parameters proportional, integral, and derivative (PID) control framework is developed via a genetic searching approach ensuring the specifications imposed. The proposed design method is intuitive and practical that offers an effective way to implement simple but robust solutions covering a wide range of plant perturbation and, in addition, provides excellent tracking performance without resorting to excessive control. Extensive experimental and numerical results for a linear brushless motor confirm the proposed control design approach.
机译:本文提出了具有建模不确定性的线性无刷直流电动机的鲁棒输出跟踪控制设计方法。为了确保稳定性和性能鲁棒性,强制采用了两个与混合灵敏度功能和控制能耗直接相关的频域规格。关于时域规范,考虑了阶跃响应的上升时间,最大过冲和稳态误差。通过遗传搜索方法开发了通用的两参数比例,积分和微分(PID)控制框架,以确保规定的规格。所提出的设计方法直观而实用,它提供了一种有效的方法来实施简单但可靠的解决方案,涵盖了广泛的植物扰动范围,此外,还提供了出色的跟踪性能,而又无需过度控制。线性无刷电机的大量实验和数值结果证实了所提出的控制设计方法。

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