THE BENDING MODE CONTROL METHOD OF AFS SYSTEM BASED ON PREVIEW CONTROL

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

14
Reader(s)
29
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 8 , ISSUE 1 (March 2015) > List of articles

THE BENDING MODE CONTROL METHOD OF AFS SYSTEM BASED ON PREVIEW CONTROL

Li Lifu * / Yang Mingjun / Zhang Jinyong

Keywords : AFS headlamp, lag of Steering-wheel angle, road illumination, preview model, preview control.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 637-657, DOI: https://doi.org/10.21307/ijssis-2017-776

License : (CC BY-NC-ND 4.0)

Received Date : 01-November-2014 / Accepted: 28-January-2015 / Published Online: 01-March-2015

ARTICLE

ABSTRACT

Due to the time-lag of both the mechanical transmission and controller area network (CAN) bus transmission of the Adaptive Front Lighting System (AFS), the actual bending angle of AFS invariably lags behind the steering-wheel angle,which not only makes the real-time response speed of the AFS system slow, but also makes the system stability and the active safety of the vehicle poor. To solve the problem, firstly, the geometrical relations among safety braking distance and the rate of steering-wheel angle and turning radius of the vehicle are analyzed. Secondly, the mathematics model among these variables has been set up. Finally, in order to improve the road illumination of the curve, the control method of bending mode of AFS system based on preview control is proposed. Based on preview control algorithm, the simulation model of the AFS has been built as well as the AFS control experiment platform. After the comparison between preview control and servo control, it can be proved that the preview control method proposed is superior to traditional servo control in AFS system.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] J. Roslak and W. Jörg, "Active lighting systems for improved road safety", Intelligent
Vehicles Symposium, 2004 IEEE. 2004, pp. 682-685.
[2] M. L. Samuel, K. V. Meena, R. Raja and S. Y. Patil, “AFS design on FPGA for automobiles”,
2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines
and Drives, AICERA/iCMMD 2014, September 2014,pp. 1-6.
[3] L. Lukacs, M. Dassanayake and I. Pepe, "Design of a Fuzzy Based AFS (Advanced Front
Lightning System) to Improve Night-Time Driving for Truck Drivers: Foreseeing its Use in
Emerging Markets", SAE Technical Paper, 2014.
[4] H. Wu, X. Zhu, Q. Zhu, C. Chen and C. Wang, "Optical design of adaptive front lighting
system based on digital micro mirror device", Infrared and Laser Engineering, Vol. 42, No. 4,
April 2013, pp, 955-959.
[5] M. S. Huang, C. C. Hung, Y. C .Fang, W. C. Lai and Y. L. Chen, "Optical design and
optimization of light emitting diode automotive head light with digital micromirror device
light emitting diode", Optik-International journal for light and electron optics, Vol. 121, No.
10, pp. 944-952. June 2010.
[6] F. Guo, H. Xiao and S. Tang. "Research of modeling and simulation on adaptive front-lighting
system for corner based on CCD." 2013 25th Chinese Control and Decision Conference,
CCDC 2013. 2013, pp. 3598-3602.
[7] K. H. Kim, D. H. Yum, D. K. Byeon, D. Y. Kim and D. I. Lee, "Improving driver's visual field
using estimation of curvature", ICCAS 2010 - International Conference on Control,
Automation and Systems. 2010, October, pp. 728-731.
[8] S.C.Mukhopadhyay, T.Ohji, M.Iwahara, S.Yamada and F.Matsumura, "Disturbance
Attenuation and H-Inf Control on Repulsive Type Magnetic Bearing", IEEE Transactions on
Magnetics, Vol. 33, No. 5, Sept, 1997, pp 4233-4235.
[9] S.C.Mukhopadhyay, T.Ohji, M.Iwahara, S.Yamada, F.Matsumura, "Design and Development
of A Low Cost Repulsive Type Magnetic Bearing and its H-Inf Control", Journal of Non linear Electromagnetic Systems, IOS Press, Vol. 13, pp 741-744, 1998.
[10] K. Schmidt and E.G. Schmidt, "Systematic message schedule construction for time-triggered
CAN", IEEE Transactions on Vehicular Technology, Vol. 56, No. 6, pp. 3431-3441, November
2007.
[11] F. Guo, H. Xiao. "Study on the Light Environment of the Adaptive Front-Lighting System
for Corner". China Illuminating Engineering Journal, Vol. 24, No. 3, pp. 99-104, 2013.
[12] S.C.Mukhopadhyay, T.Ohji, M.Iwahara and S.Yamada, "Modeling and Control of a New
Horizontal Shaft Hybrid Type Magnetic Bearing", IEEE Transactions on Industrial Electronics,
Vol. 47, No. 1, pp. 100-108, February 2000.
[13] F. Xu, "FPGA implementation and Application of fast model predictive control", Ph.D.
Dissertation, control theory and control engineering, Jilin University, China, May 2012.
[14] S. X. Wang, F. C. Sun and B. Xu, "Fuzzy hypersonic flight control with prediction model",
Journal of southeast university (natural science edition), Vol. 43, No. 1, pp. 22-27, July 2013.
[15] N. Birla, A. Swarup. "Optimal preview control: A review", Optimal Control Applications
and Methods, 2014.
[16] T. Azuma, "Design and experimental verification of state predictive LQG controllers for
networked control systems", International Journal on Smart Sensing and Intelligent Systems,
Vol. 7, No. 3, pp. 1201-1220, 2014.
[17] Y. Zhang, Y. B. Li, "Prediction of PCCP failure based on hydrophone detecting",
International Journal on Smart Sensing and Intelligent Systems, Vol. 6, No. 4, pp. 1582-1598,
September 2013.
[18] Z. Xu, Y. Xue-you, "Unified Power Quality Conditioner Based on Model Predictive
Control", Control Engineering of China, Vol. 18, No. 2, 2011, pp. 215-218.
[19] G. Sen Gupta, S.C.Mukhopadhyay, S. Demidenko and C.H.Messom, “Master-slave Control
of a Teleoperated Anthropomorphic Robotic Arm with Gripping Force Sensing”, IEEE
Transactions on Instrumentation and Measurement, Vol. 55, No. 6, pp. 2136-2145, December
2006.
[20] L. Lukacs, M. Dassanayake, R. Magalhaes, C. Fontes, M. Embirucu and I. M. Pepe,
"Benefits and challenges of controlling a LED AFS (adaptive front-lighting system) using
fuzzy logic", International Journal of Automotive Technology, 2011, 12(4), pp. 579-588.
[21] S. Piperakis, E. Orfanoudakis and M. G. Lagoudakis, "Predictive control for dynamic locomotion of real humanoid robots’. In Intelligent Robots and Systems (IROS 2014), pp.
4036-4043, September 2014.
[22] A. M. Yazdani, A. Ahmadi, S. Buyamin, M. F. A. Rahmat, F. Davoudifar and H.A. Rahim,
"Imperialist competitive algorithm-based fuzzy PID control methodology for speed tracking
enhancement of stepper motor", International Journal on Smart Sensing and Intelligent
Systems, Vol. 5, No. 3, pp. 717-741, 2012.
[23] C. Liu, M. Z. Cao, F. han, "A model for fuzzy data correlation of AIS and Radar",
International Journal on Smart Sensing and Intelligent Systems, Vol. 5, No. 4, pp. 843-858,
2012.
[24] M. Y. Tsai and T. S. Liu, "Sliding mode based fuzzy control for positioning of optical pickup
head", International Journal on Smart Sensing and Intelligent Systems, Vol. 3, No. 2, pp. 304-
321, 2010.
[25] S. E. Lyshevski, "Microstepping and high-performance control of permanent-magnet stepper
motors", Energy Conversion and Management, Vol. 85, pp. 245-253, September 2014.

EXTRA FILES

COMMENTS