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基于滑模观测器的汽车轮胎力级联估计方法 被引量:6

Cascade Tire-force Estimation Method Based on Sliding-mode Observer
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摘要 提出了一种新型的基于滑模观测器理论的汽车轮胎力级联估计方法.首先基于单轮滚动动力学模型,以车轮转动角速度及驱动力矩作为输入,针对每个车轮的纵向轮胎力设计了纵向轮胎力滑模观测器.又采用了简化的车辆2自由度模型,以纵向轮胎力估计值、前轮转角、侧向加速度及横摆角速度作为输入,分别设计了前、后轴侧向轮胎力滑模观测器.最后,为验证所设计的观测器的有效性,应用高保真车辆动力学软件ve DYNA进行了仿真研究,并与扩展卡尔曼滤波(extendedKalman filter,EKF)方法进行了对比分析.实验结果表明,基于滑模观测器的车辆轮胎力级联估计方法具有更高的准确性. We present a novel cascade tire-force estimation framework based on the sliding-mode observer method.We estimate each longitudinal tire force on the basis of the single-wheel vehicle model,which uses the angular velocity and driving torque of the wheel as inputs. Then,we apply a simplified 2-degrees-of-freedom( 2-DOF) vehicle dynamic model to design the front and rear lateral-tire-force sliding-mode observer,and use the estimated longitudinal tire forces,the front-wheel angle,the lateral acceleration,and the yaw rate as the observer inputs. We experimentally evaulate the proposed tire-force estimation method on the high-precision vehicle dynamic software,ve DYNA,and compare the estimation results with those of the extended Kalman filter( EKF) method. The results demonstrate that the sliding-mode observer has relatively higher accuracy in estimating tire forces.
出处 《信息与控制》 CSCD 北大核心 2016年第2期177-184,共8页 Information and Control
基金 国家自然科学基金重大研究计划集成项目(91220301) 国家自然科学基金青年科学基金资助项目(61403158) 国家自然科学基金资助项目(61520106008) 国家973计划资助项目(2012CB821202) 吉林省教育厅科学技术研究项目(吉教科合字[2016]第429号)
关键词 滑模观测器 车辆轮胎力估计 车辆动力学 扩展卡尔曼滤波(EKF) sliding mode observer tire force estimation vehicle dynamics extended Kalman filter(EKF)
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参考文献23

  • 1杨斯琦,解小华,陈虹.一种新型的轮胎力级联估计方法[J].信息与控制,2015,44(2):203-208. 被引量:6
  • 2李琳.滑模变结构控制系统抖振抑制方法的研究[D].大连:大连婵工大学,2007.
  • 3赵林辉,刘志远,陈虹.一种车辆状态滑模观测器的设计方法[J].电机与控制学报,2009,13(4):565-570. 被引量:17
  • 4Kang M, Li L, Li H, et al. Coordinated vehicle traction control based on engine torque and brake pressure under complicated road conditions [J]. Vehicle System Dynamic, 2012, 50(9) : 1473 - 1494.
  • 5Cho W, Choi J, Kim C, et al. Unified chassis control for the improvement of agility, maneuverability, and lateral stability[ J]. IEEE Transac- tions on Vehiclar Technology, 2012, 61 (3) : 1008 -1020.
  • 6Gipser M, Hofer R, Lugner P. Dynamic tyre forces response to road unevenness[ J]. Vehicle System Dynamics, 2007, 27 ( 1 ) : 94 - 108.
  • 7Delanne Y, Beurier G, M'Sirdi N K. Evaluation of tire/road friction performance models from on-site measurements[ C ]//Proceedings of the Fourth International Symposium on pavement Surfhce Characteristics on Roads and Airfields. 2000:423 -431.
  • 8Madhusudhanan A K, Corno M, Holweg E. Lateral vehicle dynamics control based on tyre utilization coefficients and tyre force measurements [ C ]//2013 IEEE 52nd Annual Conference on Decision and Control. Piscataway, N J, USA: IEEE, 2013:2816 -2821.
  • 9Matusko J, Petrovid I and Peri6 N. Neural network based tire/road friction force estimation[ J]. Engineering Applications of Artificial Intelli- gence, 2008, 21 (3): 442-456.
  • 10Boada M J L, Boada B L, Garcia-Pozuelo D, et al. Application of neural networks for estimation of tyre/road Forces[ C ]//ASME 2009 Inter- national Mechanical Engineering Congress and Exposition. New York, USA: American Society of Mechanical Engineers. 2009 : 427 -433.

二级参考文献28

  • 1祝晓辉,李颖晖.基于扰动滑模观测器的永磁同步电机矢量控制[J].电机与控制学报,2007,11(5):456-461. 被引量:16
  • 2Kang M, Li L, Li H, et al. Coordinated vehicle traction control based on engine torque and brake pressure under complicated road conditions [J]. Vehicle System Dynamics, 2012, 50(9) : 1473 -1494.
  • 3Cho W, Yoon J, Yim S, et al. Estimation of tire forces for application to vehicle stability control [ J ]. IEEE Transactions on Vehicular Technol- ogy, 2010, 59(2) : 638 -649.
  • 4Baffet G, Charara A, Dherbomez G. An observer of tire-road forces and friction for active security vehicle systems [J]. IEEE/ASME Transac- tions on Mechatronics, 2007, 12(6) : 651 -661.
  • 5Ono E, Asano K, Sugai M, et al. Estimation of automotive tire force characteristics using wheel velocity [ J ]. Control Engineering Practice, 2003, 11(12): 1361-1370.
  • 6Kim J, Kim S. Estimation of lateral tire force from objective measurement data for handling analysis[ R]. Washington, ML, USA: SAE, 2013.
  • 7Ray L R. Nonlinear state and tire force estimation for advanced vehicle control[ J ]. IEEE Transactions on Control Systems Technology, 1995, 3(1): 117 -124.
  • 8M'sirdi N K, Rabhi A, Zbiri N, et al. Vehicle-road interaction modelling for estimation of contact forces [ J ]. Vehicle System Dynamics, 2005, 43(sl) : 403 -411.
  • 9Hsiao T, Liu N C, Chen S Y. Robust estimation of the friction forces generated by each tire of a vehicle[ C~//American Control Conference. Piscataway, NJ, USA: IEEE, 2011:5261-5266.
  • 10Faraji M, Majd V J, Saghafi B, et al. An optimal pole-matching observer design for estimating tyre-road friction force [J]. Vehicle System Dy- namics, 2010, 48(10) : 1155 -1166.

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