Motor Control Algorithm Combining Model Predictive and Disturbance Compensator

Authors

  • Manman Li School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China
  • Lianshuang Yu School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China
  • Yandong Chen School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China
  • Jie Liu School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.405616

Keywords:

MPC, current disturbance compensation, sliding mode compensator, motor control, dynamic response

Abstract

The accuracy of motor control systems is crucial for improving energy efficiency and production quality. However, traditional motor control methods suffer from slow response and weak anti-interference ability, which limits their performance in modern industrial applications. To optimize the dynamic performance of the motor control system, a motor control algorithm combining model predictive control and disturbance compensator is proposed. The composite control strategy based on model predictive and disturbance compensator had the shortest rise time and settling time in all speed stages. When the speed was 2,000 rpm, the rise time and settling time were 0.72 s and 1.89 s, respectively. Under different stages of friction torque disturbance in bearings, the steady-state error offset of the composite control strategy was minimized. When the rated torque was 20%, the steady-state error offset was 2.64%. The proposed motor control algorithm combining model predictive and disturbance compensator can effectively improve the accuracy and stability, providing effective technical solutions for motor control.

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Author Biographies

Manman Li, School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China

Manman Li, female, born in January 1992 in Xuzhou, Jiangsu Province, graduated in July 2018 from Nanjing Institute of Technology with a Master’s degree in Mechanical Engineering. Her research focuses on motor systems and drives, as well as mechatronics. She has published six papers, holds four utility model patents, and has led one Ministry of Education industry–university collaborative education project and guided one college student innovation and entrepreneurship training program.

Lianshuang Yu, School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China

Lianshuang Yu, female, born in January 1990 in Weihai, Shandong Province. She obtained her master’s degree in Mechanical and Electronic Engineering from Shandong Agricultural University in July 2016. Her research focuses on power electronics and autonomous driving technology. She has published 1 SCI paper, 4 EI papers, and 3 teaching reform papers (as first author or corresponding author) in high-level domestic and international journals. She holds 1 authorized invention patent and 6 utility model patents.

Yandong Chen, School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China

Yandong Chen, male, born in November 1983, obtained his Ph.D. in Mechanical Engineering from Nanjing Forestry University in 2024. His research focuses on vehicle dynamics and control, as well as nonlinear vibration and its control. In 2018, he was awarded the title of Outstanding Young Core Teacher under Jiangsu Province’s “Qinglan Project.” He has led several municipal- and provincial-level projects, including the Natural Science Foundation of Jiangsu Higher Education Institutions and the Wuxi Soft Science Key Project. He has published more than ten papers in high-level domestic and international journals as first author, and holds six invention patents, five utility model patents, and one software copyright as the first inventor. In recent years, he has concentrated on vehicle dynamics and control and on nonlinear vibration analysis methods and control strategies, achieving notable results especially in integrating fractional-order theory into research on vehicle suspensions, four-wheel steering, ABS, and nonlinear inerter-based dampers.

Jie Liu, School of Intelligent Equipment Engineering, Wuxi Taihu University, Wuxi, 214064, China

Jie Liu, female, born in November 1989 in Xuzhou, Jiangsu Province, graduated in July 2016 from Jiangnan University with a Master’s degree in Mechanical Engineering. Her research focuses on mechatronics technology, robotics, and machine vision. She has led or participated in three municipal- or provincial-level projects, published three core-journal papers as first author, two EI conference papers, and three teaching-reform papers. She holds three invention patents, five utility model patents, and one software copyright, and has led two industry-sponsored projects.

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Published

2025-12-16

How to Cite

Li, M. ., Yu, L. ., Chen, Y. ., & Liu, J. . (2025). Motor Control Algorithm Combining Model Predictive and Disturbance Compensator. Distributed Generation &Amp; Alternative Energy Journal, 40(05-06), 1305–1330. https://doi.org/10.13052/dgaej2156-3306.405616

Issue

2025: Vol 40 Iss 5&6

Section

Approaches on Intelligent Algorithms for Sustainable and Renewable Energy System