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Model reaching adaptive-robust control law for vibration isolation systems with parametric uncertainty

机译:模型达到自适应稳健控制法的振动隔离系统,具有参数不确定性

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摘要

Adaptive control has been used for active vibration isolation and vehicle suspensions systems. A model reference adaptive control law is used for the plant to track the ideal reference model. In a model reaching adaptive control approach, the ideal of a skyhook target without using a reference model is achieved. In this paper, a novel approach, a model reaching adaptive-robust control law is studied for active vibration isolation systems. A dynamic manifold for ideal system is defined using the ideal of a skyhook target model system parameters. First, a new Lyapunov function is defined. Based on the Lyapunov stability theory, a model reaching adaptive and a robust control laws are derived for the uncertain system to reach the ideal manifold. Parameters and upper bounding functions are estimated as a trigonometric function depending on the relative displacements, velocities and the defined manifold. The developed adaptive and the robust compensators are combined and this combination is proposed as an adaptive-robust control law. After that, the controller is applied to a vehicle suspension system and the ideal of a skyhook target without using a reference model is achieved. The results also show that the proposed robust control law can increase the comfort of the vehicle active suspension systems and the ride comfort is remarkably increased.
机译:自适应控制已用于主动振动隔离和车辆悬架系统。模型参考自适应控制规律用于工厂跟踪理想的参考模型。在达到自适应控制方法的模型中,实现了不使用参考模型的Skyhook目标的理想。本文研究了一种新的方法,研究了达到自适应鲁棒控制定律的模型,用于主动振动隔离系统。使用Skyhook目标模型系统参数的理想定义了理想系统的动态歧管。首先,定义了一个新的Lyapunov函数。基于Lyapunov稳定性理论,为不确定的系统推导出达到自适应和强大的控制法的模型,以实现理想的歧管。根据相对位移,速度和限定的歧管,估计参数和上限函数作为三角函数。组合开发的自适应和稳健的补偿器,并提出了这种组合作为自适应稳健的控制法。之后,将控制器应用于车辆悬架系统,并且实现了不使用参考模型的Skyhook目标的理想。结果还表明,所提出的鲁棒控制法可以增加车辆主动悬架系统的舒适度,并且乘坐舒适度显着增加。

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