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Invariant Sets in Saturated and Robust Vehicle Suspension Control

机译:不变集中饱和和强大的车辆悬架控制

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This manuscript introduces a new robust control design of car active suspension systems using ellipsoidal techniques. The impact of road irregularities is regarded as an external disturbance. The suggested controller meets the following objectives: optimal passenger comfort, actuator control force limit satisfaction, effective disturbance rejection, and robustness against changes in passengers' load. The passenger load variations cause system uncertainty that is modeled as norm-bounded. A new sufficient condition is established based on the invariant ellipsoid method and the linear matrix inequalities optimization to guarantee robust stability and performance for the system. Time-domain model of road roughness based on trigonometric functions is studied. The performance of the proposed controller is tested using a quarter-car model with an active suspension system. Comparative simulation with other techniques, e.g., H_(∞) and regional pole placement, is given. Actuator dynamics and system nonlinearities are modeled and included in the design at the end.
机译:此手稿使用椭圆技术介绍了汽车主动悬架系统的新稳健控制设计。道路违规行为的影响被认为是外部干扰。建议的控制器符合以下目的:最佳乘客舒适,执行器控制力限制满意,有效的扰动抑制,以及乘客负荷变化的鲁棒性。乘客负荷变化导致系统不确定性,该不确定度被建模为标准界限。基于不变的椭球法和线性矩阵不等式优化建立了一种新的充分条件,以保证系统的鲁棒稳定性和性能。研究了基于三角函数的道路粗糙度的时域模型。使用具有主动悬架系统的四分之一车模型测试所提出的控制器的性能。给出了其他技术的比较模拟,例如H_(∞)和区域极点放置。执行器动力学和系统非线性是模拟的,并在设计中包含在设计中。

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