Low speed control of an autonomous vehicle using a hybrid fractional order controller

S. Hosseinnia, I. Tejado, B. Vinagre, V. Milanés, J. Villagrá
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引用次数: 15

Abstract

Highly non-linear vehicle dynamics plays an important role in autonomous driving systems, especially in congested traffic situations at very low speeds. Due to this fact, accurate controllers are needed in order to ensure safety during navigation. In this paper, based on a previous fractional order speed control, an improved fractional order control is presented to control a commercial Citroën C3 prototype - which has automatic driving capabilities - at low speeds, which considers a hybrid model of the vehicle. Specifically, two different fractional order PIα controllers are designed to act over the throttle and brake pedals, respectively. Concerning to the uncertain dynamics of the system during the brake action parameters are tuned to design a robust controller. In addition, the system is modeled as hybrid fractional order differential inclusions. Experimental and simulation results, obtained in a real circuit, are given to demonstrate the effectiveness of the proposed strategies for cruise control at low speeds.
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基于混合分数阶控制器的自动驾驶汽车低速控制
高度非线性的车辆动力学在自动驾驶系统中起着重要的作用,特别是在低速拥挤的交通情况下。因此,为了保证航行过程中的安全,需要精确的控制器。本文在原有分数阶速度控制方法的基础上,提出了一种改进的分数阶速度控制方法,用于对具有自动驾驶能力的商用Citroën C3原型车进行低速控制,并考虑了车辆的混合动力模型。具体来说,设计了两个不同的分数阶PIα控制器分别作用于油门和刹车踏板。针对制动过程中系统动力学的不确定性,对系统参数进行了整定,设计了鲁棒控制器。此外,该系统被建模为混合分数阶微分夹杂。在实际电路中的实验和仿真结果验证了所提策略在低速巡航控制中的有效性。
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