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Precision Position Control of a Voice Coil Motor Using Self-Tuning Fractional Order Proportional-Integral-Derivative Control

机译:使用自整定分数阶比例-积分-微分控制的音圈电机精确位置控制

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摘要

The object of this study is to develop a self-tuning fractional order proportional-integral-derivative (SFOPID) controller for controlling the mover position of a direct drive linear voice coil motor (VCM) accurately under different operational conditions. The fractional order proportional-integral-derivative (FOPID) controller can improve the control performances of the conventional integer order PID controller with respect to the additional fractional differential and integral orders; however, choosing five interdependent control parameters including proportional, integral, and derivative gains, as well as fractional differential and integral orders appropriately is arduous in practical applications. In this regard, the SFOPID controller is proposed in which the five control parameters are optimized dynamically and concurrently according to an adaptive differential evolution algorithm with a high efficiency adaptive selection mechanism. Experimental results reveal that the SFOPID controller outperforms PID and FOPID controllers with regard to the nonlinear VCM control system under both nominal and payload conditions.
机译:这项研究的目的是开发一种自调整分数阶比例积分微分(SFOPID)控制器,以在不同的操作条件下精确控制直驱线性音圈电机(VCM)的动子位置。分数阶比例积分微分(FOPID)控制器相对于附加的分数阶微分和积分阶可以提高常规整数阶PID控制器的控制性能;但是,在实际应用中,要选择五个相互依赖的控制参数,包括比例,积分和微分增益,以及分数阶微分和积分阶数。在这方面,提出了一种SFOPID控制器,其中根据具有高效自适应选择机制的自适应差分进化算法,动态并同时优化了五个控制参数。实验结果表明,相对于非线性VCM控制系统,在额定和有效载荷条件下,SFOPID控制器的性能均优于PID和FOPID控制器。

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