利用积分控制状态反馈和分岔法进行车辆模型横向动力学稳定性分析

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rahul Prakash, Dharmendra Kumar Dheer
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引用次数: 0

摘要

本文提出了一种新的控制策略,以获得稳定边界,并减少平衡点附近的瞬态。针对所述问题,提出了一种将分岔分析与状态反馈控制器相结合的新方法。在不同的平衡点上进行分岔分析,以获得稳定的运行区域。此外,还以特征值图的形式同时获得了系统的瞬态行为。所提议控制器的目标是生成控制法则和状态变量,通过调整参考输入矩阵来减少瞬态,使系统保持在稳定边界内。从得到的仿真结果可以看出,通过将分岔分析与状态反馈控制器相结合,选择纯负实特征值和参考输入矩阵可分别减少瞬态和稳态误差。利用阿克曼公式获得的闭环控制法则和状态变量均在稳定极限内。通过局部灵敏度分析获得的灵敏度指数验证了通过分岔分析获得的低摩擦路面上不同纵向速度下稳定边界之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability analysis of lateral dynamics of a vehicle model utilizing state feedback with integral control and bifurcation method

In this work, a novel control strategy is proposed to obtain the stability boundary in addition to reduce the transients around the equilibrium points. To encounter the described problem, a new approach of combining the bifurcation analysis with the state feedback controller is proposed. A bifurcation analysis at different equilibrium points is performed to obtain the stable region of operation. In addition to this, the transients behavior of the system is also obtained simultaneously in the form of eigenvalues plots. The objective of the proposed controller is to generate a control law and state variables to reduce the transients keeping the system within the stability boundary by tuning the reference input matrix. From the obtained simulation results, it is seen that, by combining the bifurcation analysis with state feedback controller, the transients and the steady state error are reduced by selecting the purely negative real eigenvalues and reference input matrix respectively. The obtained closed loop control law and the state variables utilizing Ackerman’s Formula are found within the stability limit. A sensitivity index obtained from local sensitivity analysis verifies the relationship between the stability boundary at different longitudinal velocity on a low-friction road obtained from bifurcation analysis.

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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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