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Artificial Intelligence Applied in Electrical Engineering Automation

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Application of Intelligent Systems in Multi-modal Information Analytics (ICMMIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 138))

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Abstract

Electrical engineering automation is an independent discipline, which contains many research projects, such as electrical automation control systems, electronic information applications, and computer intelligent design. The experiments in this paper found that the speed and angular velocity of the intelligent robot gradually stabilized and were close to the expected values; the position deviation and angle of the intelligent robot gradually became consistent and stable in the later stage, indicating that during the operation of the intelligent robot, fuzzy controllers were used to perform the trajectory. The feasibility of real-time tracking and its ability to control the operation path of the intelligent robot close to the ideal trajectory.

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Author information

Authors and Affiliations

  1. Dalian Power Supply Company, State Grid Corporation of China, Dalian, Liaoning, China

    Changsheng Bi, Libin Liu, Ming Zhou, Shangyi Liu & Zhiyuan Zhao

  2. Urban Rail Technical Development Department, CRRC Dalian Locomotive and Rolling Stock Co., Ltd., Dalian, Liaoning, China

    Lei Li

Authors
  1. Changsheng Bi
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  2. Libin Liu
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  3. Ming Zhou
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  4. Shangyi Liu
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  5. Zhiyuan Zhao
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  6. Lei Li
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Corresponding author

Correspondence to Changsheng Bi .

Editor information

Editors and Affiliations

  1. School of Business Administration, Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

  2. Amrita School of Engineering, Chennai, Tamil Nadu, India

    A. G. Sreedevi

  3. Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

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Bi, C., Liu, L., Zhou, M., Liu, S., Zhao, Z., Li, L. (2022). Artificial Intelligence Applied in Electrical Engineering Automation. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_8

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