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Lateral stabilization of a four wheel independent drive electric vehicle on slippery roads

机译:湿滑路面上四轮独立驱动电动汽车的侧向稳定

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In this paper, a new controller is proposed for lateral stabilization of four wheel independent drive electric vehicles without mechanical differential. The proposed controller has three levels including high, medium and low control levels. Desired vehicle dynamics such as reference longitudinal speed and reference yaw rate are determined by higher level of controller. Moreover, using a neural network observer and a fuzzy logic controller, a novel reference longitudinal speed generator system is presented. This system guarantees the vehicle's stable motion on the slippery roads. In this paper, a new sliding mode controller is proposed and its stability is proved by Lyapunov stability theorem. This sliding mode control structure is faster, more accurate, more robust, and with smaller chattering than classic sliding mode controller. Based on the proposed sliding mode controller, the medium control level is designed to determine the desired traction force and yaw moment. Therefore, suitable wheel forces are calculated. Finally, the effectiveness of the introduced controller is investigated through conducted simulations in CARSIM and MATLAB software environments. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的控制器,用于四轮独立驱动电动汽车的横向稳定,而无需机械差速器。所提出的控制器具有三个级别,包括高,中和低控制级别。所需的车辆动力学(例如参考纵向速度和参考偏航率)由更高级别的控制器确定。此外,使用神经网络观察器和模糊逻辑控制器,提出了一种新型的参考纵向速度发生器系统。该系统保证了车辆在湿滑路面上的稳定运动。本文提出了一种新型的滑模控制器,并通过Lyapunov稳定性定理证明了其稳定性。与传统的滑模控制器相比,这种滑模控制结构更快,更准确,更健壮,并且抖动更小。基于所提出的滑模控制器,将介质控制级别设计为确定所需的牵引力和横摆力矩。因此,计算出合适的车轮力。最后,通过在CARSIM和MATLAB软件环境中进行的仿真研究了引入控制器的有效性。 (C)2014 Elsevier Ltd.保留所有权利。

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