Chapter
Aug 12, 2020
Simulation Study of Vehicle Speed Variation Based on BP Neural Network PID Control
Authors: Yu Xu [email protected], Xuan Zheng [email protected], Shuai Fu [email protected], Zhiheng Wang [email protected], and Haoxue Liu [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
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.
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Published In
CICTP 2020
Pages: 1906 - 1915
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1School of Automobile, Chang’an Univ., Xi’an, Shaanxi 710064, China. Email: [email protected]
2School of Electronic and Control Engineering, Chang’an Univ., P.O. Box 710064, Xi’an, China. Email: [email protected]
3School of Electronic and Control Engineering, Chang’an Univ., P.O. Box 710064, Xi’an, China. Email: [email protected]
4Zhenjiang Transportation Comprehensive Administrative Law Enforcement Detachment, P.O. Box 212000, Zhenjiang, China. Email: [email protected]
5School of Automobile, Chang’an Univ., Xi’an, Shaanxi 710064, China. Email: [email protected]
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