袁小芳1,陈秋伊1,黄国明1,史可1.基于FNN的电动汽车自适应横向稳定性控制[J].湖南大学学报:自然科学版,2019,(8):98~104
基于FNN的电动汽车自适应横向稳定性控制
Adaptive Lateral Stability Control of Electric Vehicle Based on FNN
  
DOI:
中文关键词:  DDEV  横向稳定性  不确定性  横摆力矩  模糊神经网络
英文关键词:Distributed Drive Electric Vehicles(DDEV)  lateral stability  uncertainty  yaw moment  Fuzzy Neural Network(FNN)
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作者单位
袁小芳1,陈秋伊1,黄国明1,史可1 (湖南大学 电气与信息工程学院湖南 长沙 410082) 
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中文摘要:
      针对分布式驱动电动汽车(Distributed drive electric vehicles,DDEV)在急转弯时出现的不足转向和侧向失稳等不确定性稳定问题,提出了一种基于模糊神经网络(Fuzzy Neural Network,FNN)的自适应横向稳定性控制系统.该系统包括上级直接横摆力矩控制器和下级转矩分配控制器. 其中,上级直接横摆力矩控制器根据不确定因素产生的质心侧偏角误差得到期望的直接横摆力矩;下级转矩分配控制器将上级控制器输出的直接横摆力矩按轮胎载荷分配至每个轮毂电机,实现高效调整汽车姿态,提高汽车的转向能力和侧向稳定性.仿真实验表明,所提出的控制系统显著提升了DDEV的侧向稳定性,表现出较传统模糊控制更好的控制效果.
英文摘要:
      An adaptive lateral stability control system based on Fuzzy Neural Network(FNN) is proposed to solve the uncertain stability problems of Distributed Drive Electric Vehicles(DDEV) such as insufficient steering and lateral instability. The system consists of an upper direct yaw moment controller and a lower torque distribution controller. The upper direct yaw moment controller can get the desired direct yaw torque according to the error of side slip angle caused by uncertain factors. The lower torque allocation controller distributes the output of the upper controller to each hub motor according to the tire's load, which can adjust the vehicle attitude efficiently and improve the steering ability and lateral stability of the vehicle. Simulation results show that the proposed control system can significantly improve the lateral stability of DDEV,and show the better control effect than the traditional fuzzy control.
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