摘要
悬架系统对汽车乘坐舒适性和操纵稳定性的改善起着重要的作用。为提高汽车行驶的平顺性,设计了单神经元PID控制器,并利用人工蜂群算法在线优化单神经元PID控制增益。以车身垂直加速度、轮胎动位移、悬架动行程为评价指标,研究控制器的减振效果和当路面输入改变、模型参数变化时的适应性,对1/4汽车主动悬架模型进行仿真了分析。结果表明:基于蜂群的单神经元PID控制器有效地降低了车身垂直加速度,且有较强的鲁棒性,进一步提高了汽车行驶的平顺性。
Suspension system plays an important role in the improvement of riding comfort and handling stability.To improve the car driving comfort,the single neuron PID controller was designed and the artificial bee colony was applied to optimize the gain of the single neuron PID control.With body vertical acceleration,suspension dynamic deflection and tire dynamic displacement as the performance evaluation indicators,the controller damping effect and the adaptability for the change of road input and model parameters were researched.The 1/4 automobile active suspension model was simulated and researched.The results show that the single neuron PID controller effectively reduce the body vertical acceleration,the controller with good robustness can effectively improve the ride comfort of automobile.
出处
《机械设计与制造》
北大核心
2013年第11期29-32,共4页
Machinery Design & Manufacture
关键词
主动悬架
单神经元PID控制
人工蜂群
增益调节
Active Suspension
Single Neuron PID Control
Artificial Bee Colony
Gain Adjustment
