一种基于模型预测控制的类车节能轨迹跟踪控制器

Mauro Salazar, A. Alessandretti, Antonio Pedro Aguiar, C. Jones
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引用次数: 13

摘要

提出了一种用于类车节能运动控制的模型预测控制(MPC)策略。首先,推导了轨迹跟踪的非线性控制律,并利用该律设计了收敛到期望位置轨迹的轨迹跟踪MPC控制器。然后,假设采用电力推进,推导出反映车辆能耗的性能指标,并结合MPC控制器的稳定级成本。由此产生的策略驱动车辆在理想的轨道上通过节能的轨迹。闭环轨迹与用户提供的期望轨迹之间的距离保证最终有界。数值结果表明,所提出的控制策略对于平地或山区行驶的汽车是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An energy efficient trajectory tracking controller for car-like vehicles using Model Predictive Control
A Model Predictive Control (MPC) strategy for energy efficient motion control of car-like vehicles is presented. First, a nonlinear control law for trajectory tracking is derived and used to design a trajectory tracking MPC controller with convergence guarantees to a desired position trajectory. Then, assuming electric propulsion, a performance index reflecting the energy consumption of the vehicle is derived and combined with the stabilizing stage cost of the MPC controller. The resulting strategy drives the vehicle through energy efficient trajectories around the desired one. The distance between the closed-loop trajectories and the desired one provided by the user is guaranteed to be ultimately bounded. Numerical results show the effectiveness of the proposed control strategy for the case of a car driven through flat land or mountainous territory.
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