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首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >Multi-objective control for uncertain nonlinear active suspension systems
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Multi-objective control for uncertain nonlinear active suspension systems

机译:不确定非线性主动悬架系统的多目标控制

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摘要

Performance requirements for vehicle active suspensions include: (a) ride comfort, which means to isolate the body as far as possible from road-induced shocks and vibrations to provide comfort for passengers; (b) road holding, which requires to suppress the hop of the wheels for the uninterrupted contact between wheels and road; and (c) suspension movement limitation, which is restricted by the mechanical structure. In view of such situations, plus the parametric uncertainties, this paper suggests a constrained adaptive backstepping control scheme for active suspensions to achieve the multi-objective control, such that the resulting closed-loop systems can improve ride comfort and at the same time satisfy the performance constraints in the presence of parametric uncertainties. Compared with the classic Quadratic Lyapunov Function (QLF), the barrier Lyapunov function employed in this paper can achieve a less conservatism in controller design. Finally, a design example is shown to illustrate the effectiveness of the proposed control law, where different initial state values are considered in order to verify the proposed approach in detail.
机译:车辆主动悬架的性能要求包括:(a)乘坐舒适性,这意味着要使车身尽可能远离道路引起的震动和振动,从而为乘客提供舒适感; (b)道路保持,这要求抑制车轮的跳跃,以确保车轮与道路之间的不间断接触; (c)悬架运动限制,受机械结构限制。针对这种情况,加上参数的不确定性,本文提出了一种针对主动悬架的约束自适应反推控制方案,以实现多目标控制,从而使所得的闭环系统能够提高乘坐舒适性,同时满足在存在参数不确定性的情况下的性能约束。与经典的二次Lyapunov函数(QLF)相比,本文采用的势垒Lyapunov函数在控制器设计中可以实现较少的保守性。最后,设计示例显示了所提出的控制律的有效性,其中考虑了不同的初始状态值以详细验证所提出的方法。

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