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Optimal tuning of a PID controller for EMDAP-CVT using particle swarm optimization

机译:使用粒子群算法优化EMDAP-CVT的PID控制器的优化

摘要

This paper looked into optimal tuning of a Proportional-Integral-Derivative (PID) controller used in Electro-mechanical Dual Acting Pulley Continuously Variable Transmission (EMDAP-CVT) system for controlling the output obtained, and hence, to minimize the integral of absolute errors (IAE). The main objective was to obtain a stable, robust, and controlled system by tuning the PID controller by using Particle Swarm Optimization (PSO) algorithm. The incurred value was compared with the traditional tuning techniques like Ziegler-Nichols and it had been proven better. Hence, the results established that tuning the PID controller using PSO technique offered less overshoot, a less sluggish system, and reduced IAE.
机译:本文研究了机电双作用皮带轮无级变速器(EMDAP-CVT)系统中使用的比例积分微分(PID)控制器的最佳调整,以控制获得的输出,从而最大程度地减少了绝对误差的积分(IAE)。主要目标是通过使用粒子群优化(PSO)算法调整PID控制器来获得稳定,鲁棒和受控的系统。将其产生的值与传统的调音技术(例如Ziegler-Nichols)进行了比较,事实证明它更好。因此,结果表明,使用PSO技术调整PID控制器可提供较少的过冲,较慢的系统并减少了IAE。

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