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Editorial

Research step of PID control method of stepper motor based on improved fuzzy control algorithm

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  • @ARTICLE{10.4108/eetsis.5205,
        author={Zichi Zhang and Xiangding Meng and Yilei Kou},
        title={Research step of PID control method of stepper motor based on improved fuzzy control algorithm},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={5},
        publisher={EAI},
        journal_a={SIS},
        year={2024},
        month={2},
        keywords={PID control, Improved fuzzy control algorithm, management systems, Theory},
        doi={10.4108/eetsis.5205}
    }
    
  • Zichi Zhang
    Xiangding Meng
    Yilei Kou
    Year: 2024
    Research step of PID control method of stepper motor based on improved fuzzy control algorithm
    SIS
    EAI
    DOI: 10.4108/eetsis.5205
Zichi Zhang1,*, Xiangding Meng1, Yilei Kou1
  • 1: North China University of Science and Technology
*Contact email: 3257414465@qq.com

Abstract

The significance of PID control within the management system of stepper motors is noteworthy; nonetheless, it is worth noting that stepper motors are susceptible to issues such as low power, step loss, and vibration. The conventional Proportional-Integral-Derivative (PID) control method is insufficient in addressing the control challenge specific to stepper motor management systems. Hence, this research work presents an enhanced fuzzy control method that integrates the principles of fuzzy control theory with traditional PID control theory. The integration of fuzzy control into the P ID control is undertaken to create a fuzzy controller that satisfies the demands of stepper motor control. Additionally, the division of indices is conducted in accordance with the specifications of the fuzzy controller in order to mitigate the disruptive elements of PID control. then, the use of fuzzy control rules is employed to achieve control over the stepper motor, resulting in the development of an enhanced scheme that is then subjected to rigorous validation. The present study employs a MATLAB simulation to compare the performance of the enhanced fuzzy control algorithm with that of the P-ID control method. The results demonstrate that the improved fuzzy control algorithm significantly enhances the stability and dynamic performance of the stepper motor. Superior to traditional Proportional-Integral-Derivative (PID) control.

Keywords
PID control, Improved fuzzy control algorithm, management systems, Theory
Received
2023-12-01
Accepted
2024-02-20
Published
2024-02-26
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.5205

Copyright © 2024 Z. Zhang et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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