摘要
液压混合动力装载机在制动及能量分配过程中,由于多个子系统的引入而导致的传统联合控制策略难以通过最优化来提高整车燃油经济性,针对这个问题,提出一种基于模糊控制的液压装载机多系统联合制动控制策略。该策略基于传感器检测信号对装载机进行作业、行驶工况识别,针对实际工况,基于粒子群算法进行模糊控制规则的最优化设计,利用识别的结果选择最优的模糊控制规则进行车辆联合制动及能量分配控制。仿真与实验结果表明:该控制策略能够充分利用制动回收能量,在保证车辆联合制动安全稳定的同时,提高了车辆的制动能量回收率。
It is very difficult for a with a traditional combined braking propose a combined braking control hydraulic hybrid loader with muhiple subsystems to improve the fuel economy control strategy and an optimization algorithm. To deal with this problem, we strategy based on a fuzzy control system. In this strategy, the current working step and driving cycle are firstly recognized with sensor signals. And then, the optimal fuzzy control rules are obtained by the Particle Swarm Optimization algorithm （PSO）. The optimal fuzzy control rules are used to control the braking process and the energy distribution of the vehicle. The simulation and experimental results show that the control strategy can make full use of the braking energy and improve the recovery rate under the guarantee of safety and stability.
出处
《液压与气动》
北大核心
2016年第10期18-26,共9页
Chinese Hydraulics & Pneumatics
基金
国家自然科学基金(512755053)
科技创新服务能力建设-科研基地-新能源汽车北京实验室(PXM2016_014224_000004)
关键词
液压混合动力
联合制动
控制策略
回收效率
hydraulic hybrid power, combined brake, control strategy, recovery efficiency
