基于摄动信号实时估计的非线性车辆悬架主动控制

F. Beltrán-Carbajal, E. Chavez-Conde, A. Favela-Contreras, R. Chávez-Bracamontes
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引用次数: 5

摘要

本文提出了一种基于微分平坦度的观测器控制方案,用于受不规则路面未知外源干扰激励的主动非线性车辆悬架系统。针对仅需要位置测量的液压或电磁悬架系统,提出了两种主动振动控制器。将非线性效应、参数变化、外源扰动和可能的输入未建模动力学集中到一个未知的有界时变扰动输入信号中,影响差分平坦线性车辆悬架系统的动力学。利用基于平坦输出的线性高增益动态观测器估计了集总扰动信号和平坦输出的一些时间导数。提出的观测器-控制设计方法考虑了扰动信号可以用泰勒多项式族局部逼近。数值仿真结果表明,该前馈反馈线性化控制方案对非线性四分之一车辆主动悬架模型具有高效、有效和鲁棒性。
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Active nonlinear vehicle suspension control based on real-time estimation of perturbation signals
In this article is presented a differential flatness-based observer-control scheme for active nonlinear vehicle suspension systems subject to unknown exogenous disturbance excitations due to irregular road surfaces. Two active vibration controllers are proposed for hydraulic or electromagnetic suspension systems, which only require position measurements. The nonlinear effects, parameter variations, exogenous disturbances and possibly input un-modeled dynamics are lumped into an unknown bounded time-varying disturbance input signal affecting the differentially flat linear vehicle suspension system dynamics. The lumped disturbance signal and some time derivatives of the flat output are estimated by using a flat output-based linear high-gain dynamic observer. The proposed observer-control design methodology considered that the perturbation signal can be locally approximated by a family of Taylor polynomials. Some numerical simulation results are provided to show the efficiency, effectiveness and robust performance of the feedforward and feedback linearization control scheme for a nonlinear quarter-vehicle active suspension model.
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