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首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution
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MPC-based yaw stability control in in-wheel-motored EV via active front steering and motor torque distribution

机译:通过主动前转向和电机扭矩分配,基于MPC的轮式电动汽车偏航稳定性控制

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摘要

This paper focuses on yaw stability control of in-wheel-motored electric vehicle (EV), and a model predictive controller is designed based on holistic control structure via active front steering and motor torque distribution. By designing a suitable reference model, the controller stabilizes a vehicle along the desired states while rejecting skid and fulfilling its physical constraints, so this is described as a constrained tracking problem. To solve this, the holistic control scheme is built to simplify the hierarchical structure of the controller and directly optimize the control inputs of system. Based on holistic control structure and MPC method, an objective function with constraints is designed over a receding horizon to meet the control requirements. Finally, the proposed nonlinear model predictive controller is evaluated on eight degrees of freedom (8DOF) EV model offline simulation platform. Simulation results of different road maneuver on slippery surfaces show the benefits of the control methodology used. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文重点研究了轮毂电动汽车的横摆稳定性,并基于整体控制结构,通过主动前转向和电机转矩分配,设计了一种模型预测控制器。通过设计合适的参考模型,控制器可在不打滑并满足其物理约束的情况下使车辆沿期望的状态稳定下来,因此这被称为约束跟踪问题。为了解决这个问题,建立了整体控制方案以简化控制器的层次结构并直接优化系统的控制输入。基于整体控制结构和MPC方法,设计了具有约束条件的目标函数,以满足控制要求。最后,在八自由度(8DOF)EV模型离线仿真平台上对提出的非线性模型预测控制器进行了评估。在湿滑路面上进行不同道路操纵的模拟结果表明了所用控制方法的好处。 (C)2015 Elsevier Ltd.保留所有权利。

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