电磁主动悬架控制策略设计与试验研究

Control Strategy Design and Experimental Research on Electromagnetic Active Suspension

为了满足车辆行驶过程的不同动力学性能要求,研究了混合控制策略对线性电机式电磁主动悬架控制效果的影响。首先,构建了线性电机模型以及电磁主动悬架动力学模型;然后,采用粒子群优化算法对混合控制策略的控制参数进行寻优,并设计了基于Kalman滤波算法的状态观测器,对系统状态进行最优估计,以解决实际过程中测量噪声对控制效果的影响;随后进行了仿真分析,结果表明:相比被动悬架,采用混合控制策略的电磁主动悬架车身加速度均方根值减小了13.96%,悬架动挠度均方根值减小了28.57%,车轮动载荷均方根值减小了8.59%,说明混合控制策略可有效提高车辆的动力学性能;最后,进行了台架试验,试验结果与仿真结果较为一致,验证了仿真结果的正确性。

To meet the different requirements of vehicle, the control effect of hybrid control strategy on electromagnetic active suspension with linear motor is investigated. Firstly, the model of linear motor and dynamic model of electromagnetic active suspension are established. Then, control parameters of hybrid control strategy are optimized and determined by using particle swarm algorithm, and state observer is designed based on the Kalman filter algorithm, which solves the influence of measurement noise on control effecL And then, simulation analysis is conducted, the results show that, compared with passive suspension, the RMS value of vehicle body acceleration decreases by 13.95%, the RMS value of dynamic deflection is reduced by 28.57%, meanwhile the RMS value of wheel dynamic load decreases by 8.59%, when hybrid control strategy is used, which verifies the effectiveness of hybrid control strategy in improvement of vehicle dynamic performance; Finally, bench test is carried out, the results are in agreement with simulation results, which demonstrates the correctness of simulation.