基于布谷鸟搜索算法优化PD控制器的无刷直流电动机角位置控制

R. A. Ardiansyah, E. Yazid
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引用次数: 0

摘要

控制无刷直流电机的角位置是改善无刷直流电机在负载状态下的暂态和稳态性能的一项重要任务。无刷直流电动机控制中存在诸多问题,其中一个问题就是超调,因此本文提出了采用布谷鸟搜索算法优化比例微分(PD)控制器对无刷直流电动机进行角度位置控制,形成所谓的布谷鸟-PD (cuckoo-PD)控制器。控制系统是在一个16MHz Atmega 2560微控制器中实现的,该微控制器采用绝对编码器作为位置传感器。以Ziegler-Nichols-PD (ZN-PD)控制器为基准,测试了Cuckoo-PD控制器在恒定和变阶跃函数下的有效性。实验结果表明,Cuckoo-PD控制器的速度比ZN-PD控制器慢,但ZN-PD控制器由于上升时间快,在稳态状态下存在超调和小振荡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Angular Position Control of Brushless DC Motor Using Cuckoo Search algorithm Optimized PD Controller
Controlling the angular position of brushless DC (BLDC) motor is an essential task to improve the transient and the steady state performances under loaded condition. Many problems in BLDC controlling, one of them is the overshoot so that the angular position control of BLDC motor using cuckoo search algorithm optimized proportional derivative (PD) controller to form what the so-called the cuckoo-PD (Cuckoo-PD) controller is proposed in this paper. Control system is realized in a microcontroller namely a 16MHz Atmega 2560 with an absolute encoder as a position sensor. The effectiveness of the Cuckoo-PD controller is tested under constant and varying step functions with the Ziegler-Nichols-PD (ZN-PD) controller as a benchmark. Experimental results show that the Cuckoo-PD controller has slower speed than the ZN-PD controller, but the latter has overshoot and small oscillations during its steady state condition as a consequent of having a fast rise time.
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