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基于SIMS/GPS的汽车运动状态组合测量系统 被引量:10

Measurement System for Vehicle Motion State Based on SIMS/GPS Integrated Technologies
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摘要 建立了汽车基本坐标系并推导捷联惯性位置姿态测量基本算法,从工程易实现角度给出了中低精度SIMS和载波相位模式差分GPS在位置/速度/航向角间接反馈松散组合模式下的误差状态方程和量测方程,基于改进自适应Kalman滤波器对测量模型进行了仿真,并对组建系统进行了实车试验验证。分析表明,仿真结果和实车试验结果一致性好,测量模型满足实际汽车主动安全性试验要求。 The strapdown inertial measurement algorithm was firstly derived on the basis of the set coordinate systems. Secondly, both the state and the measure equations of errors were established based on the indirect feedback and non-tight integrated position/velocity/course angle measuring model between the middle-and-low precision IMU (inertial measurement unit) and the high precision CPDGPS (carrier-phase-differential GPS). Then the improved self-adapting Kalman filter was employed to simulate the measurement model. Finally, the measurement system was developed for the model certification and the roadway tests were conducted. The comparative study on the simulation and the roadway tests showed that the simulation results are in good agreement with the experimental result, which further justified the effectiveness of the developed integrated system for the vehicle active safety roadway test.
出处 《农业机械学报》 EI CAS CSCD 北大核心 2008年第10期30-35,共6页 Transactions of the Chinese Society for Agricultural Machinery
基金 清华大学-中大集团博士后科学基金资助项目(项目编号:20283600147) 安徽农业大学稳定与引进人才基金项目(项目编号:2007-01-01) 北京市人才强教计划资助项目(项目编号:05005015200701)
关键词 汽车 位置姿态 SIMS/GPS组合测量 KALMAN滤波器 道路试验 Vehicles, Path and attitude, SIMS/GPS integrated measurement, Kalman filter,Roadway test
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参考文献5

  • 1Hide C D, Moore T, Smith M J. Adaptive Kalman filtering algorithms for integrating GPS and low cost INS [ C ] // Proceedings of the IEEE Position Location and Navigation Symposium, Monterey, California, 2004:227-233.
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二级参考文献2

  • 1Cuderman J F H.Performance of Passenger Vehicle Anti-lock Braking System An Experiment Study:[Ph.D.Dissertation].American:The University of Texas at Austin,2001.
  • 2张为公.汽车车轮多维力测量关键技术[J].江苏大学学报(自然科学版),2004,25(1):25-28. 被引量:15

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