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Optimal control of an 8-DOF vehicle active suspension system using Kalman observer

机译:使用卡尔曼观测器的8自由度车辆主动悬架系统的最优控制

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In this paper, an 8-DOF model including driver seat dynamics, subjected to random road disturbances is used in order to investigate the advantage of active over conventional passive suspension system. Force actuators are mounted parallel to the body suspensions and the driver seat suspension. An optimal control approach is taken in the active suspension used in the vehicle. The performance index for the optimal control design is a quantification of both ride comfort and road handling. To simulate the real road profile condition, stochastic inputs are applied. Due to practical limitations, not all the states of the system required for the state-feedback controller are measurable, and hence must be estimated with an observer. In this paper, to have the best estimation, an optimal Kalman observer is used. The simulation results indicate that an optimal observer-based controller causes both excellent ride comfort and road handling characteristics.
机译:在本文中,为了研究主动式相对于传统的被动式悬架系统的优势,使用了包括驾驶员座椅动力学特性的8自由度模型,该模型受到随机道路干扰。力致动器平行于车身悬架和驾驶员座椅悬架安装。车辆中使用的主动悬架采用了最佳控制方法。最佳控制设计的性能指标是对乘坐舒适性和道路操纵性的量化。为了模拟真实的道路轮廓状况,应用了随机输入。由于实际限制,并非状态反馈控制器所需的所有系统状态都是可测量的,因此必须由观察者估算。在本文中,为了获得最佳估计,使用了最佳卡尔曼观测器。仿真结果表明,基于最佳观察者的控制器会带来出色的乘坐舒适性和道路操纵特性。

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