Vehicle kinematics modeling and design of vehicle trajectory generator system

Zhao Li , Zi-xing Cai , Xiao-ping Ren , Ai-bin Chen , Zhi-chao Xue

Journal of Central South University ›› 2012, Vol. 19 ›› Issue (10) : 2860 -2865.

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Journal of Central South University ›› 2012, Vol. 19 ›› Issue (10) : 2860 -2865. DOI: 10.1007/s11771-012-1352-3
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Vehicle kinematics modeling and design of vehicle trajectory generator system

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Abstract

A trajectory generator based on vehicle kinematics model was presented and an integrated navigation simulation system was designed. Considering that the tight relation between vehicle motion and topography, a new trajectory generator for vehicle was proposed for more actual simulation. Firstly, a vehicle kinematics model was built based on conversion of attitude vector in different coordinate systems. Then, the principle of common trajectory generators was analyzed. Besides, combining the vehicle kinematics model with the principle of dead reckoning, a new vehicle trajectory generator was presented, which can provide process parameters of carrier anytime and achieve simulation of typical actions of running vehicle. Moreover, IMU (inertial measurement unit) elements were simulated, including accelerometer and gyroscope. After setting up the simulation conditions, the integrated navigation simulation system was verified by final performance test. The result proves the validity and flexibility of this design.

Keywords

vehicle kinematics model / integrated navigation system / track generator / IMU element / system simulation

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Zhao Li, Zi-xing Cai, Xiao-ping Ren, Ai-bin Chen, Zhi-chao Xue. Vehicle kinematics modeling and design of vehicle trajectory generator system. Journal of Central South University, 2012, 19(10): 2860-2865 DOI:10.1007/s11771-012-1352-3

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References

[1]

HwangI., SeahC. H.. Intent-based probabilistic conflict detection for the next generation air transport system [J]. Proceedings of the IEEE, 2008, 96(12): 2040-2059

[2]

ZhangC.-j., WangN., ChenJing.. Trajectory generation for aircraft based on differential flatness and spline theory [C]. 2010 International Conference on Information Networking and Automation, 2010KunmingIEEE110-114

[3]

ChangK.-w., HuangY.-wen.. An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications [J]. Applied Soft Computing, 2008, 8(1): 722-733

[4]

DelsartV., FraichardT., MartinezL.. Real-time trajectory generation for car-like vehicles navigating dynamic environments [C]. 2009 IEEE International Conference on Robotics and Automation, 2009Kobe CityIEEE3401-3406

[5]

KellyA., NagyB.. Reactive nonholonomic trajectory generation via parametric optimal control [J]. The International Journal of Robotic Research, 2003, 22(8): 583-601

[6]

LiuC.-a., ChengW.-g., HongZhou.. A trajectory generator for a mobile robot in 3D path planning [C]. International Conference on Automation and Logistics, 2007JinanIEEE1247-1251

[7]

FaizN., AgrawalS. K.. Trajectory planning robots with dynamics and inequalities [C]. 2000 IEEE International Conference on Robotics and Automation, 2000San FranciscoIEEE Robotics and Automation Society3976-3982

[8]

PurwinO., D’ANDREAR.. Trajectory generation and control for four wheeled omnidirectional vehicles [J]. Robotics and Autonomous Systems, 2006, 54(1): 13-22

[9]

VijayaraghavanA., SodemannA., HooverA., RhettmayorJ., DornfeldD.. Trajectory generation in high-speed, high-precision micromilling using subdivision curves [J]. International Journal of Machine Tools & Manufacture, 2010, 50(4): 394-403

[10]

MooreK. L., FlannN. S.. A six-wheeled omnidirectional autonomous mobile robot [J]. IEEE Control Systems Magazine, 2000, 20(6): 53-66

[11]

CaiZ.-x., RenX.-p., LiZhao.. A vehicle state estimation method based on GPS/INS integrated navigation system [C]. 2010 Chinese Conference on Pattern Recognition, CCPR, 2010ChonqingIEEE Press54-58

[12]

CaiZ.-x., RenX.-ping.. Kinematics model of unmanned driving vehicle [C]. 2010 8th World Congress on Intelligent Control and Automation, 2010JinanIEEE Press5910-5914

[13]

JirawimutR., PtasinskiP., GarajV., CeceljaF.. Amethod for dead reckoning parameter correction in pedestrian navigation system [J]. Instrumentation and Measurement, 2003, 52(1): 209-215

[14]

XingL., XuJ.-s., GaoYang.. Trajectory simulation in navigation system and its application [J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2007, 17(2): 11-13

[15]

RenX.-p., CaiZ.-x., ChenB.-f., YuL.-li.. Anomaly detection method based on kinematics model and nonholonomic constraint of vehicle [J]. Journal of Central South University of Technology, 2011, 18(4): 1128-1132

[16]

PeshekhonovV. G., NesenyukL. P., GryazinD. G., NekrasovY. A., YevstifeyevM. I., BlazhnovB. A., AksenenkoV. D.. Inertial measurement units on micromechanical sensors [J]. Aerospace and Electronic Systems Magazine, IEEE, 2008, 23(10): 26-31

[17]

DongL.-l., AvanesianD.. Drive-mode control for vibrational MEMS gyroscopes [J]. Industrial Electronics, 2009, 56(4): 956-963

[18]

TanC. W., ParkS.. Design of accelerometer-based inertial navigation systems [J]. Instrumentation and Measurement, IEEE Transactions on, 2005, 6(54): 2520-2530

[19]

KagawaY., TsuchiyaT., KawashimaT.. Finite element simulation of piezoelectric vibrator gyroscopes [J]. Ultrasonics, Ferroelectrics and Frequency Control, 1996, 43(4): 509-518

[20]

BrownA. K.. GPS/INS uses low-cost MEMS IMU [J]. Aerospace and Electronic Systems Magazine, IEEE, 2005, 9(20): 3-10

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