汽车动力学系统的模型预测控制——比较研究

F. Yakub, Y. Mori
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引用次数: 6

摘要

模型预测控制(MPC)是一种先进的控制方法,受到了学术界和工业界的广泛关注。MPC方法的一个主要吸引人的方面是设计公式,它利用多变量系统结构来控制与系统工程方面相关的性能参数。由于其优点,已被推广到汽车动力学系统和控制的许多领域。因此,本文的目的是回顾MPC作为汽车车辆动力学系统主动安全和稳定控制的实用控制器。出版物分为三个主要方面,即转向和制动控制,偏航和滚转控制,主动和半主动悬架控制。无论对线性系统还是非线性系统,MPC都具有良好的控制性能和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model predictive control for car vehicle dynamics system - Comparative study
Model predictive control (MPC), one of the advanced control methods that has received on going interest from academic and industrial researchers communities. One of the major attractive aspects of MPC methodology is the design formulation, which capitalizes a multivariable system structure where it controls performance parameters that are related to the engineering aspects of the system. Due to its advantages, it has been extended to many areas of vehicle dynamics system and control. Therefore, the goal of this paper is to review MPC as a practical controller for car vehicle dynamics system for active safety and stability control. The publications is classify to three main aspects, i.e., steering and braking control, yaw and roll control, and active and semi-active suspension control. MPC had a good control performance and robustness to parameters variations with constraints to linear or nonlinear systems.
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