摘要
针对四轮驱动电动轮车的研发,设计了基于电机转矩的车轮滑移率估算器,对用于驱动防滑的模型跟踪控制算法(MFC)和最优滑移率PI控制算法进行了深入分析及优化,设计了基于滑移率估计的模糊控制算法,依据车辆单轮动力学模型对这3种驱动防滑控制算法进行了仿真分析。仿真结果表明:3种控制算法均可充分利用路面附着条件,有效进行驱动防滑控制,使汽车具有较好的稳定性。基于滑移率估计的模糊控制算法使汽车具有较好的动力性;最优滑移率控制算法使汽车具有较好的经济性;模型跟踪控制算法不需要依赖路面识别技术,算法简单,成本较低。
In order to develop the four in-wheel motors driven electric vehicle （ EV） , a slip-ratio estimator based on the motor torque was designed.The model following control （ MFC） and optimal slip-ratio control were analyzed and optimized. Then a fuzzy control algorithm based on the estimation of the slip-ratio was designed.All of the algorithms were simulated using the one-wheel vehicle model.The simulation results show that the algorithms do good work on the ASR and the vehicle dynam-ics.The fuzzy control algorithm makes good dynamic performance on the car.The optimal slip-ratio control algorithm makes better economy on the car.The MFC is simple and does not have to rely on the road recognition technology.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2014年第6期794-797,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
湖北省自然科学基金资助项目(2011CDB255)
关键词
四轮驱动
滑移率估算器
驱动防滑
模糊控制
four in-wheel motor driven
slip-ratio estimator
anti-slip regulation
fuzzy control
simulation
