基于Speedgoat的半主动悬架模糊PID控制研究

作为半主动悬架最为核心的运行组件,磁流变液阻尼器的阻力性能可结合外界电流变化连续控 制。 对于该阻尼器为半主动悬架的控制,本文搭建了汽车半主动悬架系统仿真模型,给出了一类以 Speedgoat 为基础的半主动悬架模糊 PID 控制器,并通过模糊推理求解 PID 参数的调整系数,运行了基于 Matlab / Simulink 的模糊 PID 控制器的联合半实物仿真,利用 Speedgoat 在不同路面等级、不同速度下进行了 仿真试验。 试验表明:设计的基于 Speedgoat 的半主动悬架模糊 PID 控制器比起经典 PID 控制器有更优良的 控制性能,从而提高了车辆行驶平顺性和乘坐舒适性。

Research on Fuzzy PID Control of Semi-active Suspension Based on Speedgoat

As the core operating component of the semi-active suspension the resistance performance of the magnetorheological fluid damper can be continuously controlled in combination with external current changes. For the control of the damper as a semi-active suspension a simulation model of the vehicle semi-active suspension system is built in this paper a class of fuzzy PID controllers for the semi-active suspension based on Speedgoat is given the adjustment coefficient of PID parameters through fuzzy reasoning are solved by fuzzy reasoning the hardware-in-the-loop simulation of fuzzy PID controller based on Matlab/Simulink was carried out with Speedgoat under different road grades and different speeds. The experimental results show that the designed fuzzy PID controller for semi-active suspension based on Speedgoat has better control performance than the classic PID controller thereby improving the traveling comfort and riding comfort of the vehicle.