On the vehicle sideslip angle estimation through neural networks: Numerical and experimental results

Mechanical Systems and Signal Processing

Volumn 25, Issue 6, 2011, Pages 2005-2019

  Melzi, S ^a   Sabbioni, E ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Active safety; Experimental tests; High low friction conditions; Layered neural networks; Sideslip angle estimation

Indexed keywords

ACTIVE SAFETY; EXPERIMENTAL TEST; HIGH/LOW FRICTION CONDITIONS; LAYERED NEURAL NETWORK; SIDESLIP ANGLES;

AUTOMOBILES; COMPUTER SIMULATION; CONTROL SYSTEM STABILITY; DATA HANDLING; DIFFERENTIATION (CALCULUS); ESTIMATION; FEEDFORWARD NEURAL NETWORKS; OBSERVABILITY; VEHICLES;

NETWORK LAYERS;

EID: 79957472824     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2010.10.015     Document Type: Article

References (18)

1. A.T. van Zanten, R. Erhardt, G. Pfaff, Control aspects of Bosch-VDC, in: Proceedings of AVEC International Symposium on Advanced Vehicle Control, Aachen, Germany, 1996.
2. A.T. van Zanten, Bosch ESP systems: 5 Years of experience, SAE Technical paper 2000-01-1633, 2000.
3. R. Rajamani Vehicle Dynamics and Control 2005 Springer-Verlag New York
4. E. Esmailzadeh, A. Goodarzi, and G.R. Vossoughi Optimal yaw moment control law for improved vehicle handling Mechatronics 13 2003 659 675
5. U. Kiencke, and A. Daiß Observation of lateral vehicle dynamic Control Engineering Practice 5 8 1997 1045 1050
6. P.J.Th. Venhovens, and K. Naab Vehicle dynamics estimation using Kalman filters Vehicle System Dynamics 32 1999 171 184 (Pubitemid 32081555)
7. H. Aleksander, M.D. Simpson, Estimation of Vehicle Side Slip Angle and Yaw Rate, SAE Technical Paper, n. 2000-01-0696, 2000.
8. F. Cheli, S. Melzi, M. Pesce, and E. Sabbioni A methodology for vehicle sideslip an-gle identification: comparison with experimental data Vehicle System Dynamics 45 6 2007 549 563 (Pubitemid 46752161)
9. H. Sasaki, T. Nishimaki, A side-slip angle estimation using neural network for a wheeled vehicle, SAE Technical Paper 2000-01-0695, 2000.
10. M. Abdulrahim, On the dynamics of automobile drifting, SAE Technical Paper 2006-01-1019, 2006.
11. J.C. Principe, N.R. Euliano, W.C. Lefebvre, Neural and adaptive systems: funda-mentals through simulations, John Wiley and Sons, New York, 2000.
12. B. Widrow, and M. Lehr 30 years of adaptive neural network: perception, madaline and backpropagation Proceedings of the IEEE 78 9 1990 1415 1440
13. P.D. Wasserman Neural Computing Theory and Practice 1989 Van Nostrand Reinhold
14. H.B. Pacejka Tyre and Vehicle Dynamics 2002 Butterworth-Heinemann Editions
15. F. Braghin, F. Cheli, and E. Sabbioni Environmental effects on Pacejka's scaling factors Vehicle System Dynamics 44 7 2006 547 568
16. J. Ryu, and J.C. Gerdes Integrating inertial sensors with global positioning system (GPS) for vehicle dynamics control Journal of Dynamic Systems, Measurement, and Control 126 2004 243-24
17. A. Hac, E. Bedner, Robustness of side slip estimation and control algorithms for vehicle chassis control, in: Proceedings of ESV Conference, 2007.
18. L. Imsland, H.F. Grip, T.A. Johansen, T.I. Fossen, J.C. Kalkkuhl, A. Suissa, Nonlinear Observer for Vehicle Velocity with Friction and Road Bank Angle Adaptation - Validation and Comparison with an Extended Kalman Filter, SAE Technical Paper 2007-01-0808, 2007.