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Robust Adaptive Sliding Mode PI Control for Active Vehicle Seat Suspension Systems

机译:主动车辆座椅悬架系统的鲁棒自适应滑模PI控制

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In this paper, a robust adaptive sliding mode proportional integral control (RASMPIC) method is proposed for an active vehicle seat suspension system, where the driver's mass is supposed as an unknown parameter with boundaries. A dynamic active seat suspension system is established at first. Then a sliding mode controller (SMC) is designed to achieve the required ride comfort performance based on the driver's mass estimated by utilizing an adaptive law where a projecting adaptive algorithm is used to prevent the estimated parameters from surpassing their boundaries to enhance the robustness of the seat suspension system. Also, a proportional and integral (PI) control for driver's acceleration is added into the controller as RASMPIC for the stabilization of the proposed suspension system. In simulations, sinusoidal vibrations are used to test the controllers and the results show the RASMPIC has a better control performance to reduce driver's acceleration and improve the driving comfort than SMC and RASMC.
机译:本文提出了一种鲁棒的自适应滑模比例积分控制(RASMPIC)方法,用于主动车辆座椅悬架系统,其中驾驶员的体重被认为是带有边界的未知参数。首先建立动态主动式座椅悬架系统。然后设计滑模控制器(SMC),以通过利用自适应定律估算驾驶员的体重来实现所需的乘坐舒适性,其中使用投影自适应算法来防止估算的参数超出其边界,从而增强驾驶员的鲁棒性。座椅悬架系统。此外,用于驾驶员加速的比例和积分(PI)控制作为RASMPIC被添加到控制器中,以稳定所提出的悬架系统。在仿真中,正弦振动用于测试控制器,结果表明,与SMC和RASMC相比,RASMPIC具有更好的控制性能,可降低驾驶员的加速度并提高驾驶舒适性。

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