基于辨识模型的半主动悬架控制策略研究

依据悬架实体在ADMAS中建立1/4悬架模型并采用遗传算法辨识模型参数,得到了一个更能真实反映悬架性能的简化辨识模型.在此简化辨识模型的基础上分析了几种基于天棚阻尼原理的控制方法的特点,提出了一种基于免疫优化的混合阻尼半主动控制方法.仿真结果表明,基于免疫优化的混合阻尼半主动控制方法能够改善被动悬架的性能;在一定控制指标下,混合阻尼控制对被动悬架性能的改善优于天棚阻尼控制和地棚阻尼控制.

Study of Semi active Suspension Control Strategy Based on an Identification Model

This paper proposed a simple identification model by applying genetic algorithm to identify the model parameters on the basis of the quarter car model built in ADAMS. So its characteristics are closer to those of a real suspension than those of a simple model with normal parameters. Then the characteristics of some control methods with skyhook damper were analyzed, and a hybrid control strategy optimized by means of immune algorithm was proposed. Simulation results have indicated that hybrid control can effectively improve passive suspension performance, and under certain index, it can offer more benefits to suspension performance than skyhook control and groundhook control. Moreover, the proposed method is simple and feasible and has some practical value in engineering.