基于ESO-ISMC与KFRFO的线控转向路感反馈控制研究OA
Research on road sensing feedback control of steer-by-wire based on ESO-ISMC and KFRFO
为提升路感模拟质量,设计了基于卡尔曼滤波齿条力观测器(kalman filter rack force observer,KFRFO)的主力矩设计与补偿模型.针对路感电机理想力矩的跟踪精度问题,构建了融合扩展状态观测器(extended state observer,ESO)和积分滑模控制(integral sliding mode control,ISMC)的永磁同步电机转角控制器,并在模型参数一致的情况下与 PID 控制效果对比验证性能.仿真与硬件在环试验结果表明:相比传统 EPS(electronic power steering),所设计模型在双扭线工况下满足低速轻便性需求,在中心区工况下提升了转向灵敏性.所提 ESO+ISMC 控制方法在中心区工况下路感力矩曲线的峰值与拐点处跟踪精度超99.8%,实现了高精度路感反馈,为线控转向系统设计提供参考.
To improve the quality of road sensing simulation,this paper developed a principal torque compensation model based on the Kalman filter rack force observer(KFRFO).To improve the tracking accuracy of the ideal torque of the road induction motor,an angle controller for permanent magnet synchronous motors was developed integrating Extended State Observer(ESO)and integral sliding mode control(ISMC).Its performance was compared to the PID control with the same model parameters.The simulation and hardware-in-the-loop test results show the proposed model meets the requirements of low-speed portability with the double torsion lines and improves the steering sensitivity in the central area compared with the traditional EPS.The proposed ESO+ISMC control method achieves a tracking accuracy of over 99.8%at the peak and inflection points of the road sensing torque curve in the central area,providing high-precision road sensing feedback and some insights into the design of the steer-by-wire system.
张炳力;徐超;崔滔文;鹿庆刚;左云杰
合肥工业大学 汽车与交通工程学院,合肥 230009||安徽省智能汽车工程实验室,合肥 230009合肥工业大学 汽车与交通工程学院,合肥 230009||安徽省智能汽车工程实验室,合肥 230009合肥工业大学 汽车与交通工程学院,合肥 230009||安徽省智能汽车工程实验室,合肥 230009合肥工业大学 汽车与交通工程学院,合肥 230009||安徽省智能汽车工程实验室,合肥 230009合肥工业大学 汽车与交通工程学院,合肥 230009||安徽省智能汽车工程实验室,合肥 230009
交通工程
线控转向路感卡尔曼滤波永磁同步电机扩展状态观测器积分滑模控制
steer-by-wireroad sensingKalman filterpermanent magnet synchronous motorESOISMC
《重庆理工大学学报》 2026 (13)
21-30,10
安徽省科技攻坚计划项目(重大项目)(202423e12050001)安徽省科技创新攻坚计划项目(202523f12050012)
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