馈能悬架的多模式智能控制策略

针对主动悬架耗能而限制其在电动汽车中的应用问题，采用永磁(PM)直线电机作为主动悬架系统的执行机构，建立了整车动力学模型，研究了车辆动力学性能与能量回收能力之间的关系。基于最优控制理论设计了主动悬架LQG控制器，采用层次分析法(AHP)和粒子群优化(PSO)方法优化了控制器设计参数，提高了车辆动力学性能和能量回收能力。为了实现模式切换，提出了一种新的多模式切换控制策略。在控制策略中引入舒适性因素，该因素可由驾驶员调节或根据车辆行驶状态进行选择，从而实现了不同模式下的策略切换。仿真结果表明，所提出的多模式切换控制策略显著优于传统主动悬架控制模式，从而全面提升了整车动力学性能和能量再生能力，为悬架馈能控制策略提供指导。

A novel and intelligent multi-mode switching control strategy in energy regenerative suspension systems

In order to solve the problem of restrictive application of active suspension in electric vehicles due to energy consumption, using permanent magnet(PM) linear motor as the actuator of active suspension system, a dynamic model was developed to investigate the relationship between vehicle''s dynamic performance and energy regenerative capability. The active suspension LQG controller was designed based on the optimal control theory, and the controller design parameters were optimized by analytic hierarchy process(AHP) and particle swarm optimization(PSO), which improved the vehicle dynamic performance and energy regenerative power. In order to achieve the state identification and mode switching, a novel multi-mode switch control strategy was proposed. The innovation of the proposed control strategy is the introduction of the comfort factors which depend on the driver''s choice and the detailed identification of the driving state of the vehicle, so as to realize the strategy switching under different modes. The simulation results show that the proposed multi-mode switch control strategy is significantly better than conventional active suspension control mode, and achieves a comprehensive and intelligent improvement of dynamic performance and energy regenerative capability in vehicle. This study provides guidance for the suspension feed-energy control strategy.