Simulation Study of Vehicle Speed Variation based on BP Neural Network PID Control
编号:282 访问权限:仅限参会人 更新:2021-12-03 10:17:56 浏览:51次 张贴报告

报告开始:2021年12月17日 08:17(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T3] Track 3 Vehicle Operation Engineering and Transportation Management

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摘要
Because the driver's speed control system is a system with strong time-varying and large variation of parameters, in order to simulate the change rule of the driver's speed, this paper establishes the BP neural network PID model. In this paper, a three-layer BP neural network is designed and compared with the simulation curve of the speed variation of the classical PID control and the Speed variation simulation curve of the PID control of the BP neural network in the PID control system. The simulation results of this paper show that the BP neural network PID controller designed in this paper shows good control effect in the performance dynamic following, real-time and robustness.
关键词
CICTP
报告人
yu xu
Chang'an University

稿件作者
yu xu Chang'an University
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

主办单位
Chinese Overseas Transportation Association
Chang'an University
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