ew 23(1):

Research Article

Analysis of anti-slip control system and dynamic performance of mechanical engineering drive based on improved social engineering algorithm

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  • @ARTICLE{10.4108/ew.3715,
        author={Jiangbo Liu and Wei Liang and Chunyan Wang},
        title={Analysis of anti-slip control system and dynamic performance of mechanical engineering drive based on improved social engineering algorithm},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2023},
        month={8},
        keywords={disassembly line equalization, social engineering algorithm, green design, green production},
        doi={10.4108/ew.3715}
    }
    
  • Jiangbo Liu
    Wei Liang
    Chunyan Wang
    Year: 2023
    Analysis of anti-slip control system and dynamic performance of mechanical engineering drive based on improved social engineering algorithm
    EW
    EAI
    DOI: 10.4108/ew.3715
Jiangbo Liu1, Wei Liang1,*, Chunyan Wang2
  • 1: Heibei Vocational College of Rail TransportationTraining Center
  • 2: Heibei Vocational College of Rail Transportation Electromechanical Department
*Contact email: lukyqbo@whku-edu.cn

Abstract

INTRODUCTION: The field of mechanical engineering technology is an emerging technology field with many research directions, and there are many directions of intersection with other disciplines, among which the field of mechanical engineering has outstanding research advantages. With the continuous development of mechanical engineering technology, the research direction of mechanical engineering applied to the field of mechanical engineering is also continuously enriched and developed. Mechanical engineering research focuses on realizing the monitoring and control of the dynamic performance of mechanical systems, as well as realizing the integration of design and system control. OBJECTIVES: In order to improve the disassembly efficiency, reduce the disassembly cost and disassembly energy consumption, it is optimized using social engineering methods to achieve better results and reduce the disassembly cost and energy consumption. METHODS: Aiming at the drive and anti-skid control strategy of four-wheel hub motor, it was simulated using improved social engineering algorithms, and based on this, three road recognition algorithms were selected for low, medium, and high adhesion road verification. RESULTS: Through the study of automobile anti-skid control system, the basic structure of automobile anti-skid control system is summarized and some solution measures are proposed. A new type of drive anti-skid control system is proposed for the problems of high vibration and noise of automobile brake. The drive anti-slip control system is characterized by simple structure, easy maintenance, simple control and reliable operation, and high operation efficiency. CONCLUSION: This study shows that the system not only has excellent drive anti-slip effect, but also has good control performance. In addition, this drive anti-slip system is able to ensure the safe and reliable operation of mechanical brakes in various harsh environments. This new drive anti-slip control system is a new type of drive device that can be widely used for driving force on various mechanical brakes and drive wheels, and the study of this device is of great significance.