ORIGINAL RESEARCH article
Front. Mech. Eng.
Sec. Mechatronics
Motor Automation Speed Regulation Method with Sliding Mode Control and Adaptive Gain
Provisionally accepted
Yu Zhang1
Yuping Li2*- 1Zhengzhou Technology and Business University, Zhengzhou, China
- 2North China University of Water Conservancy and Electric Power, Zhengzhou, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Motor speed control is crucial for maintaining the normal operation of motors. In view of the limitations of current motor speed control methods, such as high parameter dependence, obvious control signal buffering, and low flexibility, an automatic speed control model combining Sliding Mode Control and adaptive gain is proposed. This model combines adaptive gain with a Sliding Mode Control to design an Adaptive Sliding Mode Control for motor speed control. Then, the super helix algorithm is used to adjust the sliding mode gain coefficient to suppress the controller's buffing problem.At the same time, an evaporation constant is introduced to improve the particle swarm optimization algorithm, and the controller parameters are optimized using the improved particle swarm algorithm to enhance the model's stability and achieve automatic speed regulation of the motor. In the dynamic experiment, it was proposed that the current fluctuation of the model was always kept within ±0.10A, demonstrating high stability. In addition, the research proposes that the maximum speed estimation error of the model is 5.77%, which is superior to the error calculation results of the comparison models and far less than the standard requirement of 8.00%, and can better meet the speed control requirements in the field of motors. Overall, the model proposed in this study exhibits superior speed regulation performance, achieving high stability, low vibration, and strong robustness in motor automatic speed regulation control, thereby better ensuring the safe operation of the motor.
Keywords: Adaptive gain, motor, PSO, sliding mode control, Super-twisting algorithm
Received: 29 Sep 2025; Accepted: 15 Dec 2025.
Copyright: © 2025 Zhang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yuping Li
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.