Vehicle dynamic prediction systems with on-line identification of vehicle parameters and road conditions

Sensors (Switzerland)

Volumn 12, Issue 11, 2012, Pages 15778-15800

  Hsu, Ling Yuan ^a   Chen, Tsung Lin ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Dynamics predictions; Road condition identifications; Sensor fusion system; Vehicle parameter identifications

Indexed keywords

ON-LINE IDENTIFICATION; PREDICTION ACCURACY; ROAD CONDITION IDENTIFICATIONS; ROAD FRICTION COEFFICIENTS; SENSOR FUSION SYSTEMS; SIX DEGREE-OF-FREEDOM; VEHICLE DYNAMICS MODELS; VEHICLE PARAMETERS;

DYNAMICS; FORECASTING; IDENTIFICATION (CONTROL SYSTEMS); ROADS AND STREETS; SEATS; SENSORS;

VEHICLES;

EID: 84870498853     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s121115778     Document Type: Article

References (33)

1. Feng, K.T.; Tan, H.S.; Tomizuka, M. Future Predictor for Vehicle Steering Guidance-Sensitivity Analysis and Experimental Results. In Proceedings of the 38th IEEE Conference on Decision and Control, Phoenix, AZ, USA, 7-10 December 1999; pp. 3722-3727.
2. Lin, C.F.; Ulsoy, A.G.; LeBlanc, D.J. Vehicle dynamics and external disturbance estimation for vehicle path prediction. IEEE Trans. Contr. Syst. Technol. 2000, 8, 508-518.
3. Gaspar, P.; Szabo, Z.; Bokor, J. Prediction Based Combined Control to Prevent the Rollover of Heavy Vehicles. In Proceedings of the 13th Mediterranean Conference on Control and Automation, Limassol, Cyprus, 27-29 June 2005; pp. 575-580.
4. Ghandour, R.; Cunha, F.R.; Victorino, A.; Charara, A.; Lechner, D. A Method of Vehicle Dynamics Prediction to Anticipate the Risk of Future Accidents: Experimental Validation. In Proceedings of the 14th IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA, 5-7 October 2011; pp. 1692-1697.
5. Scanchez, E.N.; Ricalde, L.J.; Langari, R.; Shahmirzadi, D. Rollover Prediction and Control in Heavy Vehicles via Recurrent Neural Networks. In Proceedings of the 43rd IEEE Conference on Decision and Control, Bahamas, Paradise Island, Atlantis, 14-17 December 2004; pp. 5210-5215.
6. Travis, W.E.; Whitehead, R.J.; Bevly, D.M.; Flowers, G. T. Using Scaled Vehicles to Investigate the Influence of Various Properties on Rollover Propensity. In Proceedings of the American Control Conference, Boston, CA, USA, 30 June-2 July 2004; pp. 3381-3386.
7. Hsu, L.Y.; Chen, T.L. Vehicle full-state estimation and prediction system using state observers. IEEE Trans. Veh. Technol. 2009, 58, 2651-2662.
8. Ryu, J.; Gerdes, J.C. Estimation of Vehicle Roll and Road Bank Angle. In Proceedings of the American Control Conference, Boston, CA, USA, 30 June-2 July 2004; pp. 2110-2115.
9. Hahn, J.O.; Rajamani, R.; Alexander, L. GPS-based teal-time identification of tire-toad friction coefficient. IEEE Trans. Contr. Syst. Technol. 2002, 10, 331-343.
10. Tseng, H. E. Dynamic estimation of road bank angle. Veh. Syst. Dyn. 2001, 36, 307-328.
11. Bar-Shalom, Y.; Li, X.R.; Kirubarajan, T. Estimation with Applications to Tracking and Navigation;Wiley-Interscience: Hoboken, NJ, USA, 2001.
12. Pence, B.L.; Fathy, H.K.; Stein, J.L. Sprung Mass Estimation for Off-Road Vehicles via Base-Excitation Suspension Dynamics and Recursvie Least Squares. In Proceedings of the American Control Conference, St. Louis, MO, USA, 10-12 June 2009; pp. 5043-5048.
13. Wesemeier, D.; Isermann, R. Identification of vehicle parameters using stationary driving maneuvers. Contr. Eng. Pract. 2009, 17, 1426-1431.
14. Baffet, G.; Charara, A.; Dherbomez, G. An observer of tire-road gorces and griction for active security vehicle systems. IEEE/ASME Trans. Mech. 2007, 12, 651-661.
15. Bijker, J.; Steyn, W. Kalman filter configurations for a low-cost loosely integrated inertial navigation system on an airship. Contr. Eng. Pract. 2008, 16, 1509-1518.
16. Moore, T.; Hill, C.; Norris, A.; Hide, C.; Park, D.; Ward, N. The potential impact of GNSS/INS integration on maritime navigation. J. Navig. 2008, 61, 221-237.
17. Zhou, J.; Bolandhemmat, H. Integrated INS/GPS System for an Autonomous Mobile Vehicle. In Proceedings of the International Conference on Mechatronics and Automation, Harbin, China, 5-8 August 2007; pp. 694-699.
18. Yang, Q.; Sun, J. A Location Method for Autonomous Vehicle Based on Integrated GPS/INS. In Proceedings of the IEEE Vehicular Electronics and Safety, Beijing, China, 13-15 December 2007; pp. 1-4.
19. Ryu, J.; Gerdes, J.C. Integrating inertial sensors with GPS for vehicle dynamics control. ASME J. Dyn. Syst. Meas. Contr. 2004, 126, 243-254.
20. Hsu, L.Y.; Chen, T.L. Applying a Three-Antenna GPS and Suspension Displacement Sensors to a Road Vehicle. In Proceedings of the IEEE Sensors Conference, Chirstchurch, New Zealand, 25-28 October 2009; pp. 1593-1597.
21. Wang, B.; Zhai, C.; Zhan, X. GPS-Based Attitude Determination RAIM Method Study and Optimize. In Proceedings of the IEEE Internaltional Conference on Mechatronics and Automation, Changchun, China, 9-12 August 2009; pp. 4561-4565.
22. Lachapelle, G.L.; Cannon, M.E.; Vogel, B. Performance Analysis of a Shipborne Gyrocompass with aMulti-Antenna GPS System. In Proceedings of the IEEE Position Location and Navigation Symposium, Las Vegas, NV, USA, April 1994; pp. 337-343.
23. Synge, J.L.; Griffith, B.A. Principles of Mechanics; Mc-Graw Hill: New York, NY, USA, 1942; p. 424.
24. Andrew, S.; Wu, M. Multi-rate kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring. Mech. Syst. Signal Proc. 2007, 21, 706-723.
25. Hingwe, P. Robustness and Performance Issues in the Lateral Control of Vehicle in Automated Highway System. Ph.D. Thesis, Department ofMechanical Engineering, University of California, Berkeley, CA, USA, 1997; pp. 23-26.
26. Pacejka, H.B.; Bakker, E. The Magic Formula Tyre Model. Veh. Syst. Dyn. Suppl. 1993, 21, 1-18.
27. Dugoff, H.; Fancher, P.S.; Segel, L. An Anlysis of Tire Traction Properties and their Influence on Vehicle Dynamic Performance; SAE Technical Paper, University of Michigan: Michigan, MI, USA, 1970.
28. Norris, W. Modern Steam Road Wagons; Longmans: London, UK, 1906; pp. 63-67.
29. Chong, E.P.; Żak, S.H. An Introduction to Optimization; Wiley-Interscience: New York, NY, USA, 2001.
30. Chen, C.T. Linear System Theory and Design; Holt, Rinehart and Winston: New York, NY, USA, 1984.
31. Pallas-Areny, R.; Webster, J.G. Sensors and Signal Conditioning, 2nd ed.; John Wiley and Sons: New York, NY, USA, 2001; p. 13.
32. Singh, A.K.; Hahn, J. Determining optimal sensor loactions for state and parameter estimation for stable nonlinear systems. Ind. Eng. Chem. Res. 2005, 44, 5645-5659.
33. Nahvi, A.; Hollerbach, J.M.; Hayward, V. Calibration of a Parallel Robot Using Multiple Kinematic Closed Loops. In Proceedings of the IEEE International Conference on Robotics and Automation, San Diego, CA, USA, 8-13 May 1994; pp. 407-412.