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Adaptive backstepping controller for a vehicle active suspension system

机译:用于车辆有源悬架系统的自适应BackStepping控制器

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This paper deals with the comparative study of the performance of an adaptive Back Stepping Controller (BSC), an intelligent Fuzzy Logic Controller (FLC) and a conventional Proportional Integral and Derivative Controller (PIDC) based Vehicle Active Suspension System (VASS). BSC with a linear filter design rejects the high frequency road disturbances and improves the trade-off between the ride comfort and suspension travel. FLC design does not require mathematical model of the system to be controlled. The effectiveness of BSC and FLC is compared with as that of the PID controller. With the Root Mean Square (RMS) value of body acceleration as the performance index, the simulation is carried out using MATLAB/SIMULINK software. Simulation results show that the BSC based VASS is effective in vibration isolation of the vehicle body compared to passive system, PIDC and FLC based VASS.
机译:本文涉及自适应后台踩踏控制器(BSC),智能模糊逻辑控制器(FLC)和传统比例积分和衍生控制器(PIDC)车辆有源悬架系统(VASS)性能的比较研究。 BSC具有线性滤波器设计拒绝了高频道路障碍,并改善了乘坐舒适度和悬架行程之间的权衡。 FLC设计不需要控制系统的数学模型。 BSC和FLC的有效性与PID控制器的有效性。对于身体加速的根均方(RMS)值作为性能指标,使用MATLAB / SIMULINK软件进行仿真。仿真结果表明,与基于无源系统,PIDC和FLC基于基于VASS的BSC基于基于VAS的振动隔离有效。

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