MULTI-CONDITION CO-SIMULATIONS OF VEHICLE STABILITY CONTROL VIA FUZZY PID ALGORITHM
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School of Automotive Engineering/State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044,China

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The project supported by the National Natural Science Foundation of China (11702039)

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    Abstract:

    The vehicle electronic stability program (ESP) is a critical active safety configuration. It can work correspondingly to ensure the driving stability when the vehicle corners with high speeds. It is necessary to compare and improve the stability control algorithm to evaluate and enhance the vehicle stability in different conditions. In this paper, traditional and fuzzy PID algorithms are presented to simulate the vehicle high speed cornering. A vehicle dynamic model built up Carsim is used for the vehicle stability control. The lateral displacement, vehicle side slip angle, yaw rate and lateral acceleration are selected as parameters for stability evaluations. Afterwards, the co-simulation of vehicle stability control in double shifting, sine and angle step conditions are performed. The simulation results show that the fuzzy PID algorithm based vehicle controller employing the fuzzy PID algorithm meets the stability requirements in different conditions.

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History
  • Received:December 31,2019
  • Revised:August 29,2020
  • Adopted:
  • Online: July 06,2021
  • Published:

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