电动汽车充电系统压力控制基于模糊神经网络PID控制

Zhaopeng Li, Jie Pang, Chunxiang Xu, Chengcai Zhang
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引用次数: 2

摘要

提出了一种电动汽车充电系统,并针对系统接触压力的非线性变化提出了一种模糊神经网络PID控制系统。首先介绍了充电系统的组成,阐述了充电系统的工作原理。其次分析了车辆振动引起系统接触压力的非定常变化,并针对上述问题设计了模糊神经网络PID控制系统。然后利用simulink软件建立系统模型进行仿真分析。最后,仿真结果表明,模糊神经网络PID控制的性能优于传统PID控制,能够有效地控制系统的接触压力,使其处于更稳定的工作状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electric vehicle charging system pressure control based on fuzzy neural network PID control
This paper proposes a charging system for electric vehicles and a fuzzy neural network PID control system for the non-linear variation of system contact pressure. Firstly, the constitution of the charging system is introduced, and the working principle of the system is described. Secondly the unsteady change in the contact pressure of the system caused by vehicle vibration is analyzed, and the fuzzy neural network PID control system is designed for the above problems. Then the system model is built by simulink software for simulation analysis. Finally, the simulation results show that the performance of the fuzzy neural network PID control is better than the traditional PID control, and it can effectively control the contact pressure of the system in a more stable working state.
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