汽车主动悬架的单神经元自适应控制

在1/4汽车动力学模型的基础上,设计了汽车主动悬架的自适应神经元控制器。以车辆的行驶平顺性为主要控制目标,车身垂直加速度、悬架动挠度、车轮动位移为具体评价参数,研究了系统在随机路面激励条件下的时域响应,计算了振动响应的均方根值,考察了在变参数条件下控制器的鲁棒性。仿真结果表明,该控制器能有效改善车辆的综合性能,尤其是平顺性和舒适性,并且具有较好的鲁棒性,对模型参数的变化有一定的适应性。

Single Neuron Adaptive Control of Active Vehicle Suspension

A single neuron adaptive controller for active vehicle suspension is designed based on a quarter car dynamic model.Taking ride comfort as main control objective,and the body vertical acceleration,suspension dynamic deflection and wheel dynamic displacement as specific evaluation parameters,the response of the vehicle in time domain is simulated under random road excitation.The root mean square values of vibration response are calculated and the robustness of the controller is investigated with various vehicle parameters.The simulation results show that the proposed controller can effectively improve the overall performance,in particular,the ride comfort of vehicle,with good robustness and adaptability to the variation of model parameters.