采用双模糊逻辑系统和 HSA 优化的新型 BLDC 速度 PID 控制器。

A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization.

机构信息

College of Mechatronic Engineering, Changchun University of Technology, Changchun, 130012, China.

College of Computer Science and Engineering, Changchun University of Technology, Changchun, 130012, China.

出版信息

Sci Rep. 2022 Jul 4;12(1):11316. doi: 10.1038/s41598-022-15487-x.

DOI:10.1038/s41598-022-15487-x

PMID:35787643

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9253067/

Abstract

In order to enhance the speed control performance of the brushless DC motor (BLDCM), a novel proportion integration differentiation (PID) is proposed in this paper by using dual fuzzy logic systems (FLSs) with harmony search algorithm (HSA) optimization, which is called DFPID-HSA. Firstly, the FLS1 in DFPID-HSA locks the three coefficients of the PID controller in an extensive range on the basis of the system error and error change rate. Then, the FLS2 is optimized by HSA (HSA-F2) to obtain the precise correction of the three coefficients. To get the optimal global harmony better, the improved dynamic adjustment mode is used for the pitch adjustment rate (PAR) and distance bandwidth (BW) in HSA, and the triple selection method is adopted in the composition harmony section to realize the global search. Finally, DFPID-HSA provides the optimal supply control signal to BLDCM so that it can control the speed effectively. Moreover, the stability of the system is analyzed by the pole, Lyapunov, and Nyquist determination methods. And the sensitivity analysis of DFPID-HSA is carried out under the condition of different motor's mechanical parameters to check its robustness. In addition, the superiority of DFPID-HSA is verified by MATLAB simulation and experiment platform.

摘要

为了提高无刷直流电机（BLDCM）的速度控制性能，本文提出了一种新颖的比例积分微分（PID）控制方法，该方法采用双模糊逻辑系统（FLS）和和声搜索算法（HSA）优化，称为 DFPID-HSA。首先，DFPID-HSA 中的 FLS1 在系统误差和误差变化率的基础上，在广泛的范围内锁定 PID 控制器的三个系数。然后，通过 HSA（HSA-F2）对 FLS2 进行优化，以获得三个系数的精确修正。为了获得更好的最优全局和谐，在 HSA 中采用了改进的动态调整模式来调整音高调整率（PAR）和距离带宽（BW），并在组合和谐部分采用三重选择方法来实现全局搜索。最后，DFPID-HSA 为 BLDCM 提供最佳的电源控制信号，以便有效地控制速度。此外，还通过极点、李雅普诺夫和奈奎斯特确定方法分析了系统的稳定性。并在不同电机机械参数的条件下进行了 DFPID-HSA 的灵敏度分析，以检查其鲁棒性。此外，通过 MATLAB 仿真和实验平台验证了 DFPID-HSA 的优越性。