基于遗传算法优化的汽车主动转向控制研究  

Active steering control of vehicle based on genetic algorithm optimization

作　　者：霍春宝[1] 程艳[1] 王京[2] 吴玉尚 王燕[4] 

机构地区：[1]辽宁工业大学电气工程学院,辽宁锦州121001 [2]辽宁省电力有限公司锦州供电公司,辽宁锦州121001 [3]中国海洋大学工程学院,山东青岛266100 [4]北京印刷学院机电工程学院,北京102600

出　　处：《机电工程》2016年第1期122-126,共5页Journal of Mechanical & Electrical Engineering

基　　金：辽宁省科技厅联合基金项目资助(2015020047);北京市青年教师拔尖人才资助项目(TXM2015-014223-000007)

摘　　要：针对汽车线控主动转向行驶稳定性问题,对汽车线控主动转向的控制策略和控制方法进行了研究;并对汽车的动力学模型进行了建立及简化;利用遗传算法可以克服BP网络收敛速度慢和极易陷入局部极小值等特点,提出了一种基于遗传算法优化BP神经网络的线控转向系统。通过选择典型工况,利用Carsim和Matlab/Simulink联合仿真平台对不同的控制方法进行了仿真验证。研究结果表明,基于遗传算法优化的BP网络控制对汽车主动转向控制效果较好,能使实际横摆角速度对理想的横摆角速度实现很好的跟踪,并显著提高了汽车行驶稳定性。Aiming at the vehicle steering-by-wire control with active steering , the control method and strategy of SBW were researched. Then the SBW model was buih up. The genetic algorithm method can overcome the problems such as slow convergence speed and easy to fall into minimum points of the BP network, a SBW based on optimized BP network with genetic algorithm was advanced. The typical conditions are selected, the control method was verified by using Matlab/Simulink and Carsim co-simulation. The results indicate that the control effect is good for vehicle active steering based on the optimized BP network with genetic algorithm, the actual yaw rate can recur the yaw rate prefera- bly and the stability of vehicle is improved significantly.

关 键 词：汽车 汽车主动转向 遗传算法优化BP网络的控制 横摆角速度 稳定性 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] U469.72[自动化与计算机技术—计算机科学与技术]