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灭火智能车辆PID控制方法研究
引用本文:马育林,吴青,吴勇,王维锋.灭火智能车辆PID控制方法研究[J].交通与计算机,2009,27(1):19-22.
作者姓名:马育林  吴青  吴勇  王维锋
作者单位:武汉理工大学,水路公路交通安全控制与装备教育部工程研究中心,武汉,430063
摘    要:为满足灭火智能车辆在火灾现场所需的精确运动要求和技术性能,充分利用BP神经网络能够逼近任意非线性系统的优点,将BP神经网络和PID控制相结合,把训练后的网络输出作为PID控制器输入,并不断调整其P、I、D参数,进而调整控制器的输出电压以控制灭火智能车辆的速度。

关 键 词:灭火智能车辆  BP神经网络  PID控制器

RPID Control Method of the Fire-fighting Intelligent Vehicle Based on BP Neural Network
MA Yulin,WU qing,WU yong,WANG Weifeng.RPID Control Method of the Fire-fighting Intelligent Vehicle Based on BP Neural Network[J].Computer and Communications,2009,27(1):19-22.
Authors:MA Yulin  WU qing  WU yong  WANG Weifeng
Institution:Wuhan University of Technology;Wuhan 430063;China;Engineering Research Center of Transportation Safety;Ministry of Education;China
Abstract:For the full use of BP neural network,which has excellent performance of approximating nonlinear systems,the neural network and PID control were integrated in order to meet movement and performance requirements of the fire-fighting intelligent vehicle on the fire site.The output of the trained network was put as input of the PID controller,and its P,I,D parameters were adjusted.Then,the output voltage of the controller was adjusted to control the speed of the fire-fighting intelligent vehicle.The accuracy a...
Keywords:fire-fighting intelligent vehicle  BP neural network  PID controller  
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