汽车动力总成主动悬置系统分层控制策略研究

针对汽车动力总成主动悬置系统结构特点,考虑作动器动态特性对系统控制精度的影响,提出了一种分层控制方法。在对三自由度1/4车主动悬置系统分析的基础上,推导了悬置系统和电磁作动器控制电路的数学模型,采用分层控制策略对悬置部分和作动器电路部分设计了上、下层控制器。上层悬置控制器采用综合性能较好的LQR控制,并利用遗传算法对其性能指标权重系数进行优化;下层作动器电路部分采用简单实用的PID控制,并利用粒子群算法对其参数进行优化。最后,通过对所设计的主动悬置系统设置两种典型工况进行仿真验证。结果表明:相比于传统控制,按照分层控制策略设计的主动悬置系统能够针对汽车不同工况实施更精确的控制,并且具有较强的鲁棒性和力跟踪性。

Hierarchical control strategy for active suspension system of automobile powertrain

Aiming at the structural characteristics of the active mounting system of the vehicle powertrain and considering the influence of the dynamic characteristics of the actuator on the control accuracy of the system, a hierarchical control method is proposed. Based on the analysis of the three-degree-of-freedom (DOF) 1/4 vehicle active mounting system, the mathematical model of the mounting system and the electromagnetic actuator control circuit is derived. The upper and lower controllers are designed for the mount part and the actuator circuit part by using the layered control strategy. The upper mount controller adopts LQR control with better comprehensive performance and uses genetic algorithm to optimize its performance index weight coefficient. The lower actuator circuit adopts simple and practical PID control, besides, optimizes its parameters using particle swarm optimization algorithm. Finally, the simulation is verified by setting two typical operating conditions for the designed active mounting system. The results show that compared with traditional control, the active mounting system designed according to the hierarchical control strategy can implement more precise control for different working conditions of the vehicle, and has strong robustness and force tracking.