Two distinct methods for integration of active differential and active roll control systems

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Systems Science & Complexity Pub Date : 2006-07-24 DOI:10.1504/IJVD.2006.010437
F. Assadian, N. Aneke
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引用次数: 3

Abstract

The development and application of mechatronic sub-systems has dramatically increased in the automobile industry during recent years. The implementation of these sub-systems, aboard vehicles, has resulted in an increase in vehicle performance and stability. However, until recently, these sub-systems have been developed for specific objectives without considering the dynamic coupling between these systems. Hence, their potential has not been fully exploited. In this paper, the coupling effect of the active differential and the active roll control systems on the lateral and the yaw rate dynamics of a vehicle are demonstrated by deriving a simple linearised model. Then, two distinct control strategies are proposed for illustrating the benefits of integrating the aforementioned systems. The first control method is based on direct use of an optimisation method for computing optimal mapping of the requested vehicle body forces to the actuator inputs. The second method utilises a MIMO model based control methodology. The advantages and the drawbacks of each control strategy are discussed and the simulation results are presented.
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主动差速器和主动横摇控制系统集成的两种不同方法
近年来,汽车工业中机电子系统的发展和应用得到了迅猛的发展。在车辆上安装这些子系统,提高了车辆的性能和稳定性。然而,直到最近,这些子系统都是为特定的目标而开发的,没有考虑这些系统之间的动态耦合。因此,它们的潜力没有得到充分利用。本文通过推导一个简单的线性化模型,证明了主动差速器和主动侧滚控制系统对车辆横向和横摆角速度动力学的耦合效应。然后,提出了两种不同的控制策略来说明集成上述系统的好处。第一种控制方法基于直接使用优化方法来计算所请求的车身力到执行器输入的最佳映射。第二种方法利用基于MIMO模型的控制方法。讨论了各种控制策略的优缺点,并给出了仿真结果。
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来源期刊
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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