• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 30 Issue 3
Jun.  2017
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Article Contents
LIANG Jun, ZHAO Tongyang, XIONG Xiaoxia, ZHANG Wanwan, CHEN Long, ZHU Ning. Design of Vehicle Acceleration Controller Based on Parallel Neural Network PID[J]. Journal of Southwest Jiaotong University, 2017, 30(3): 626-632. doi: 10.3969/j.issn.0258-2724.2017.03.026
Citation: LIANG Jun, ZHAO Tongyang, XIONG Xiaoxia, ZHANG Wanwan, CHEN Long, ZHU Ning. Design of Vehicle Acceleration Controller Based on Parallel Neural Network PID[J]. Journal of Southwest Jiaotong University, 2017, 30(3): 626-632. doi: 10.3969/j.issn.0258-2724.2017.03.026

Design of Vehicle Acceleration Controller Based on Parallel Neural Network PID

doi: 10.3969/j.issn.0258-2724.2017.03.026
  • Received Date: 30 Dec 2015
  • Publish Date: 25 Jun 2017
  • An acceleration control algorithm based on the parallel neural network PID (PNNPID) was proposed to conquer the problems of slow system change identification, poor dynamic performance, and slow adjustment in traditional acceleration control algorithms for adaptive cruise control (ACC). Through analysis of the shortcomings of the traditional serial neural network PID (SNNPID) for direct feedback error, an acceleration controller for vehicles that is based on the parallel control theory is developed using the self-learning function of neural network. In addition, taking into account the vehicle ride comfort, an amplitude limiting scheme of filter is designed to fit driving behavior. Experimental results show that the acceleration controller based on SNNPID can function within a maximum deviation of 0.25 m/s, and is more accurate than the controller based on PNNPID. This new acceleration controller is characterized by small average error, short adjustment time, and good transient property; and the proposed filter amplitude limiting scheme can greatly improve the ride comfort of vehicles.

     

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