MCS adaptive control of vehicle dynamics: an application of bifurcation techniques to control system design

Bruno Catino, S. Santini, M. Bernardo
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引用次数: 45

Abstract

In vehicle dynamics, active control is often necessary to extend the open-loop stability range in critic or hard road conditions. Active control of steering angle results in an extension of car stability and safety. In this paper, an adaptive minimal control synthesis algorithm is proposed for active steering. This method offers an efficient way of solving control problem strongly affected by parametric and modelling uncertainties, as in our case of study, where tire-force characteristics, modelled with the "magic formula", are not known a priori. The control action is synthesized starting from a bifurcation analysis of the open-loop nonlinear plant. The effectiveness of the proposed method is tested through numerical simulation of the time-trajectories and the numerical continuation of the steady-state behaviour of the closed-loop vehicle.
车辆动力学的MCS自适应控制:分岔技术在控制系统设计中的应用
在车辆动力学中,主动控制往往是在恶劣或恶劣路况下扩大开环稳定范围的必要手段。主动控制转向角可以提高汽车的稳定性和安全性。针对主动转向问题,提出了一种自适应最小控制综合算法。这种方法提供了一种有效的方法来解决受参数和建模不确定性强烈影响的控制问题,如在我们的研究案例中,用“神奇公式”建模的轮胎力特性是先验未知的。从开环非线性对象的分岔分析出发,综合了控制作用。通过时间轨迹的数值模拟和闭环飞行器稳态行为的数值延拓,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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