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Application of fuzzy logic for autonomous bay parking of automobiles

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Abstract

In this paper, we investigate the control problem of autonomous bay parking system. We choose a referenced parking lot and define a suitable parking spot based on some measurements at various places. A kinetic model is set up for the convenience of analysis and simulation. The pose of the car during the parking procedure can be determined by the initial pose, the backward speed, and the steering angle of the wheel. Then, both a fuzzy speed controller and a fuzzy steering controller are designed for the bay parking. Finally, simulation results show the effectiveness of our designed controllers.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130025, PRC

    Zhao-Jian Wang & Jian-Wei Zhang

  2. Changchun Institute of Engineering and Technique, Changchun, 130117, PRC

    Zhao-Jian Wang

  3. Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

    Ying-Ling Huang

  4. Department of Mechanical Engineering, University of Victoria, PO Box 3055, STN CSC, Victoria, BC, V8W 3P6, Canada

    Hui Zhang

  5. Department of Electrical and Computer Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK, S7N 5A9, Canada

    Aryan Saadat Mehr

Authors
  1. Zhao-Jian Wang
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  2. Jian-Wei Zhang
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  3. Ying-Ling Huang
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  4. Hui Zhang
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  5. Aryan Saadat Mehr
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Corresponding authors

Correspondence to Zhao-Jian Wang or Hui Zhang.

Additional information

Zhao-Jian Wang received the B.Eng. degree from Academy of Armored Force Engineering, Beijing, PRC in 2002, and the M.Eng. degree from Jilin University, Changchun, PRC in 2008. He is currently working towards the Ph. D. degree in State Key Laboratory of Automotive Simulation and Control of Jilin University, Changchun, PRC.

His research interest includes vehicle control.

Jian-Wei Zhang received the B.Eng. degree from Harbin Institute of Technology, Harbin, PRC in 1996, the M.Eng. degree from Jilin University of Technology, Changchun, PRC in 1999, and the Ph.D. degree from Jilin University, Changchun, PRC in 2003, all in vehicle engineering. In 2003, he joined the State Key Laboratory of Automotive Simulation and Control of Jilin University. Since 2008, he has been an associate professor at Jilin University.

His research interests include vehicle dynamic control, autonomous vehicle control, and driving motor control.

Ying-Ling Huang received the B. Sc. degree in automotive engineering from Harbin Institute of Technology, PRC in 2006, and M. Sc. degree in mechanical engineering at the University of British Columbia, Canada in 2010.

Her research interest include electric/ hybrid electric vehicle control, non-linear optimization, and tracking algorithms design.

Hui Zhang received the B. Sc. degree in mechanical design manufacturing and automation from Harbin Institute of Technology, PRC in 2006, and the M. Sc. degree in automotive engineering from Jilin University, PRC in 2008. He is a Ph.D. candidate in mechanical engineering at University of Victoria, BC, Canada.

His research interests include robust control and filtering, networked control systems, hybrid vehicles and signal processing.

Aryan Saadat Mehr received the B. Sc. degree from AmirKabir University, Tehran, Iran in 1990, the M. Sc. degree from Tehran University in 1995, and the Ph.D. degree from University of Alberta, Edmonton in 2001, all in electrical engineering. Since 2001, he has been with the Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada, where he is currently an associate professor.

His research interests include robust control and multirate signal processing.

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Wang, ZJ., Zhang, JW., Huang, YL. et al. Application of fuzzy logic for autonomous bay parking of automobiles. Int. J. Autom. Comput. 8, 445–451 (2011). https://doi.org/10.1007/s11633-011-0602-4

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  • DOI: https://doi.org/10.1007/s11633-011-0602-4

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