基于混合控制策略的馈能悬架半主动控制

为使馈能悬架在一定范围内实现半主动控制,基于混合控制策略,确定了电机电磁阻尼力的控制算法.探讨了电机不同电磁阻尼力对悬架性能的影响及馈能悬架实现半主动控制的条件.在此基础上,以整车舒适性为目标,采用粒子群优化算法确定了电机阻尼力控制参数,并设计了直接电流控制器,使直线电机产生所需的电磁阻尼力.最后,对采用基于混合控制策略的馈能悬架进行了随机路面激励下的仿真分析.结果表明,优化的电机阻尼力控制参数能使馈能悬架实现半主动控制,显著改善馈能悬架的舒适性和平顺性,并能回收悬架部分振动能量. 

Semi-Active Control of Energy-Regenerative Suspension Based on Hybrid Control Strategy

To achieve semi-active control of energy-regenerative suspension in a certain range, the motor electromagnetic damping force was described by the formula related to velocities of sprung mass and unsprung mass based on hybrid control strategy. Since the motor was not powered by external source when semi-active controlled, the control force was limited by the motor maximum electromagnetic force. The influence of damping force on suspension dynamic performance was discussed, as well as the conditions to achieve semi-active control were studied. On this basis, the particle swarm optimization was used to decide the control parameters with ride comfort as objective function. To follow the required damping force, a direct current controller was designed. Finally, the simulation analysis of energy-regenerative suspension with hybrid control strategy under random road excitations was performed. The results show that the optimal control parameters can ensure semi-active control and energy regeneration of energy-regenerative suspension. The ride comfort is improved obviously.