An optimal robust controller for active trailer differential braking systems of car-trailer combinations

Eungkil Lee, S. Kapoor, T. Sikder, Yuping He
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引用次数: 9

Abstract

This paper presents an optimal robust controller for active trailer differential braking (ATDB) systems of car-trailer (CT) combinations. To design ATDB systems, controllers based on the linear quadratic regulator (LQR) technique have been explored. In these LQR controller designs, vehicle forward speed, trailer payload, etc., were assumed as constants. In reality, a CT combination is frequently confronted with variations of operating conditions and vehicle parameters, which may impose significant impacts on the lateral stability of these vehicles. This motivates the investigation into robust controller designs. An ATDB controller is designed using the µ synthesis technique. A new method using a genetic algorithm (GA) for tuning the weighting function parameters for the robust controller is presented. In the parameters tuning process, the lateral stability is emphasised and the path-following capability is considered. Simulation results confirm the validity of the ATDB controller.
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汽车-挂车组合主动挂车差动制动系统的最优鲁棒控制器
本文提出了一种适用于汽车-拖车(CT)组合挂车主动差速制动(ATDB)系统的最优鲁棒控制器。为了设计ATDB系统,研究了基于线性二次调节器(LQR)技术的控制器。在这些LQR控制器设计中,假定车辆前进速度、拖车有效载荷等为常数。事实上,CT组合经常面临操作条件和车辆参数的变化,这可能会对这些车辆的横向稳定性产生重大影响。这激发了对鲁棒控制器设计的研究。ATDB控制器采用µ合成技术设计。提出了一种利用遗传算法调整鲁棒控制器加权函数参数的新方法。在参数调整过程中,强调了横向稳定性,并考虑了路径跟随能力。仿真结果证实了ATDB控制器的有效性。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
3
期刊介绍: IJVSMT provides a resource of information for the scientific and engineering community working with ground vehicles. Emphases are placed on novel computational and testing techniques that are used by automotive engineers and scientists.
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