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首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >Vibration control for active seat suspension systems via dynamic output feedback with limited frequency characteristic
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Vibration control for active seat suspension systems via dynamic output feedback with limited frequency characteristic

机译:主动座椅悬架系统的振动控制,其动态输出反馈具有有限的频率特性

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摘要

This paper investigates the problem of H_∞ control for active seat suspension systems via dynamic output feedback control. A vertical vibration model of human body is introduced in order to make the modeling of seat suspension systems more precise. Meantime, different from the existing H_∞ control methods which conduct disturbance attenuation within the entire frequency domain, this paper addresses the problem of H_∞ control for active seat suspension systems in finite frequency domain to match the characteristics of the human body. By using the generalized Kalman-Yakubovich-Popov (KYP) lemma, the H_∞ norm from the disturbance to the controlled output is decreased over the chosen frequency band between which the human body is extremely sensitive to the vibration, to improve the ride comfort. Considering a practical situation of active seat suspension systems, a dynamic output feedback controller of order equal to the plant is designed, where an effective multiplier expansion is used to convert the controller design to a convex optimization problem. Compared with the entire frequency approach for active seat suspension systems, the finite frequency approach achieves better disturbance attenuation for the concerned frequency range, while the performance constraint is guaranteed in the controller design, which is verified by a practical example with certain and random road disturbances.
机译:本文通过动态输出反馈控制研究了主动座椅悬架系统的H_∞控制问题。为了使座椅悬架系统的建模更加精确,引入了人体的垂直振动模型。同时,与现有的在整个频域内进行干扰衰减的H_∞控制方法不同,本文针对有限频率域中的主动座椅悬架系统的H_∞控制问题,以使其与人体特征相匹配。通过使用广义的Kalman-Yakubovich-Popov(KYP)引理,从扰动到受控输出的H_∞范数会在选定的频段上降低,在该频段上人体对振动极为敏感,从而提高乘坐舒适性。考虑到主动式座椅悬架系统的实际情况,设计了一个等于工厂数量级的动态输出反馈控制器,其中使用有效的乘数展开将控制器设计转换为凸优化问题。与主动座椅悬架系统的全频率方法相比,有限频率方法在相关频率范围内实现了更好的干扰衰减,同时在控制器设计中保证了性能约束,并通过对某些随机道路干扰的实例进行了验证。 。

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