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Coupling Dynamics of Complex Electromechanical System

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1234))

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Abstract

Complex electromechanical systems play a very important role in people’s actual production and life. In the traditional discrete serial design mode, many mechanical and electrical equipment are designed to enhance operating conditions or product performance requirements, showing many performance limitations. Based on the above background, the purpose of this paper is to study the coupled dynamics of complex electromechanical systems. This article first introduces the historical development process, research direction, research results and related conclusions of previous people about nonlinear mechanical systems and electromechanical coupled dynamic systems, and briefly introduces Lagrange Maxwell’s equations to illustrate electromechanical coupled dynamics. The system has great research value. Secondly, the basic concepts of electromechanical coupling dynamic system are introduced, and the circuit equations of the system are described in detail. Finally, the coupled dynamics simulation of the motor and mechanical system was carried out to analyze the dynamic performance of electric wheels. ADAMS and MATLAB software are used to carry out joint simulation, and an electromechanical coupling dynamic model is established. For the characteristics of starting, steady speed, uphill and deceleration belts, the wheel motion characteristics are calculated respectively. The speed performance and impact resistance were systematically evaluated. Aiming at the dynamic response of the motor under sudden load, the target torque control method was improved.

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Author information

Authors and Affiliations

  1. Railway Locomotive and Rolling Stock Institute, Wuhan Railway Vocational College of Technology, Wuhan, 430205, China

    Zhouhong He

  2. Wuhan Optical Valley Mechanical and Electrical Technology Co., Ltd., Wuhan, 430074, China

    Xiaowen Liao

Authors
  1. Zhouhong He
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  2. Xiaowen Liao
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Corresponding author

Correspondence to Xiaowen Liao .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, and Center for Data Science and Big Data Analytics, Oakland University, School of Business Administration, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

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He, Z., Liao, X. (2021). Coupling Dynamics of Complex Electromechanical System. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1234. Springer, Cham. https://doi.org/10.1007/978-3-030-51556-0_9

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