Implementation of grasshopper optimisation algorithm for closed loop speed control a BLDC motor drive

IF 0.8 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Swarm Intelligence Research Pub Date : 2019-12-06 DOI:10.1504/ijsi.2019.10025730
Devendra Potnuru, A. S. Tummala
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引用次数: 1

Abstract

This paper presents a recently proposed grasshopper algorithm for speed control of BLDC motor drive in closed loop. The main objective of this paper is to obtain optimal PID gains of speed controller at different operating conditions. The efficient PID tuning is based on minimisation of integral square error which is the objective function of this optimisation problem. The PID controller is used for speed control of the BLDC motor drive. The drive has been simulated in MATLAB/Simulink environment and is tested at different reference speeds.
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无刷直流电机闭环速度控制的蚱蜢优化算法的实现
本文提出了一种用于无刷直流电机闭环速度控制的蚱蜢算法。本文的主要目标是在不同的运行条件下获得速度控制器的最优PID增益。有效的PID整定是基于最小的积分平方误差,这是优化问题的目标函数。PID控制器用于无刷直流电机驱动器的速度控制。在MATLAB/Simulink环境中对该驱动器进行了仿真,并在不同的参考速度下进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Swarm Intelligence Research
International Journal of Swarm Intelligence Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.50
自引率
0.00%
发文量
76
期刊介绍: The mission of the International Journal of Swarm Intelligence Research (IJSIR) is to become a leading international and well-referred journal in swarm intelligence, nature-inspired optimization algorithms, and their applications. This journal publishes original and previously unpublished articles including research papers, survey papers, and application papers, to serve as a platform for facilitating and enhancing the information shared among researchers in swarm intelligence research areas ranging from algorithm developments to real-world applications.
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