基于遗传优化的车辆稳定性模糊控制器设计

Design of Vehicle Stability Fuzzy Controller Based on Genetic Optimization

为了保证车辆在极限危险工况下的行驶稳定性,提出了利用后轮主动转向与差动制动联合产生校正横摆力矩的稳定性控制策略,并进行了相应的车辆稳定性模糊控制器设计;为了改进所设计模糊控制器的控制品质,克服在控制器设计中隶属函数划分与控制参数确定的主观性,利用遗传算法对所设计模糊控制器的隶属函数分布及比例、量化因子进行了优化研究.

To ensure driving stability of vehicle during critical or dangerous working condition,a control strategy on vehicle stability was proposed,which integrates the active rear-wheel steering with differential braking to produce jointly the required correction yaw moment,and the corresponding fuzzy controller for vehicle stability was designed;furthermore,to improve the control quality of fuzzy controller designed,and to overcome its design subjectivity in dividing membership functions and determining controller parameter,the genetic algorithm was be adopted to optimize the division of membership functions.