坚固的全车主动悬架系统

Y. M. Al-Rawashdeh, S. E. Ferik, M. A. Abido
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引用次数: 1

摘要

本文设计了一种鲁棒的整车主动悬架系统。除了与汽车底盘有关的参数外,所涉及的所有参数都被认为是不确定的,并且假定重心位置是固定的。得到的不确定系统由许多不确定参数组成,鲁棒性问题是非凸的。为了解决这一问题,提出了粒子群优化技术,得到了一种迭代的粒子群优化算法。SimMechanics用于建立非线性全车模型,并允许将来的扩展,以便考虑复杂的情况,即乘客,货物或类似的东西可能是不确定的或有自己的动态。
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Robust Full-Car Active Suspension System
In this paper, a robust full-car active suspension system is designed. All parameters involved, except those related to the chassis of the car, are considered uncertain and the center of gravity position is assumed to be fixed. The resulting uncertain system constitutes of many uncertain parameters and the robust problem is found to be non-convex. Particle Swarm Optimization technique is devised to solve this problem resulting in an iterative PSO/LMI optimization algorithm. SimMechanics is used to build the nonlinear full-car model and to allow future extensions such that complex cases can be considered, i.e., the passengers, goods, or the like might be uncertain or having their own dynamics onboard.
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