线性二次型调节器(LQR)与模糊控制器(FLC)的平顺性主动悬架性能比较

M. H. Harun, A'zraa Afhzan Ab. Rahim, Ili Shairah Abdul Halim, N. E. Abdullah
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引用次数: 4

摘要

悬架的主要目的是减少在道路上行驶时产生的振动。然而,这种振动在被动悬架中仍然存在,它含有高频率,导致乘坐舒适性和驾驶性能降低。除此之外,使用被动悬架的效果也会对汽车的某些部件造成损坏,当通过道路上的洞和当有一个高颠簸。为了克服这一问题,在前人研究的基础上,对被动悬架、线性二次型调节器(LQR)和模糊逻辑控制器(FLC)使用特定模型参数的性能进行了比较。本文利用MATLAB / SIMULINK工具箱对四分之一汽车二自由度悬架进行了研究。采用几种道路剖面,进行了基于车身位移、车身加速度、悬架行程和空间振动的分析。分析结果表明,两种控制器都能有效地减小振动。然而,与LQR相比,FLC提供了最好的性能。
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Performance Comparison of Active Suspension for Ride Comfort Using Linear Quadratic Regulator (LQR) and Fuzzy Logic Controller (FLC)
The main purpose of a suspension is to reduce the vibration that occurs when driving on the road. However, this vibration still exists in passive suspension which contain high frequency causing reduced ride comfort and driveability. Besides that, the effects of using passive suspension can also cause damage to certain components of a car when passing through holes on the road and when there is a high bump. To overcome this problem, a comparison has been made based on the performance between passive suspension, Linear Quadratic Regulator (LQR) and Fuzzy logic Controller (FLC) that used specific model parameters based on previous studies. This investigation focusses on two-degree of freedom (DOF) quarter car suspension using the MATLAB / SIMULINK toolbox. Several road profiles were used, and analysis based on car body displacement, car body acceleration, suspension travel and space rattle were carried out. The result of the analysis shows that both controllers can reduce vibration. However, FLC provides the best performance compared to LQR.
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