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机构地区:[1]长安大学汽车学院
出 处:《武汉理工大学学报(交通科学与工程版)》2008年第2期339-342,共4页Journal of Wuhan University of Technology(Transportation Science & Engineering)
基 金:陕西省自然科学基础研究计划项目资助(批准号:2007E206)
摘 要:利用主动横摆力矩控制汽车制动稳定性,确立了控制目标和控制策略,建立了基于车道偏移距离的Fuzzy-PID控制模型和轮胎神经网络辨识模型,设计了Fuzzy-PID控制器并利用模糊推理方法对PID控制器的3个参数进行在线自适应调整.仿真与试验结果表明,利用主动横摆力矩Fuzzy-PID控制方法,能减少汽车在对开路面制动时的侧滑和激转等危险,使汽车在制动偏驶后能快速恢复正确行驶车道,且Fuzzy-PID方法比PID控制方法具有更好的控制效果.Vehicle may skid and wander, or even drive to the lane for another vehicle resulting in collision when braking on bisectional roads. The method of controlling vehicle braking stability by active yaw moment is proposed. Accordingly, the control aim and control strategy are determined. Based on lane deflection distance, the Fuzzy-PID control model and tyre neural networks identification model are constructed, and the Fuzzy-PID controller is designed. The three parameters of the PID controller are adjusted adaptively by Fuzzy reasoning. The results of simulation and experiments show that the method of active yaw moment Fuzzy-PID control can reduce the risks of skidding and emergency turning when vehicle braking on bisectional roads, restore vehicle to correct lane quickly after braking wandering. The Fuzzy-PID method has better control effect.
关 键 词:对开路面 制动稳定性 FUZZY—PID控制 主动横摆力矩
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