Adaptive PI Controller for Speed Control of Electric Drives Based on Model Reference Adaptive Identification

被引：0

作者：

Zuo, Yuefei ^{[1
]}

Zhu, Shushu ^{[2
]}

Cui, Yebing ^{[3
]}

Liu, Chuang ^{[2
]}

Lin, Xiaogang ^{[4
]}

机构：

[1] Loughborough Univ, Dept Aeronaut & Automot Engn, Loughborough LE11 3TU, England

[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China

[3] Shanghai Engn Res Ctr Serv Syst, Shanghai 201108, Peoples R China

[4] Chinese Acad Sci, Quanzhou Inst Equipment Mfg Haixi Inst, Quanzhou 362200, Peoples R China

来源：

ELECTRONICS | 2024年 / 13卷 / 06期

关键词：

adaptive control; disturbance estimation; inertia identification; parameter identification; PI; speed control; DISTURBANCE REJECTION; SYSTEM; PMSM;

D O I：

10.3390/electronics13061067

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, to achieve auto-setting of PI controller gains when mechanical parameters are unknown, two adaptive PI controllers for speed control of electric drives are developed based on model reference adaptive identification. The adaptive linear neuron (ADALINE) neural network is used to interpret the proposed adaptive PI controller. The effect of the low-pass filter used for the feedback speed and the Coulomb friction torque on parameter identification is analysed, and a new motion equation using filtered speed is given. Additionally, a parameter identification method based on unipolar speed reference is provided. The two proposed adaptive PI controllers and the conventional PI controller are compared based on the high-precision digital simulation using MATLAB/Simulink (version R2023a). The simulation results show that both of the two proposed adaptive PI controllers are able to identify mechanical parameters, but the adaptive PI-1 controller outperforms the adaptive PI-2 controller due to its better noise attenuation performance.

引用

页数：15

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