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Design of Iterative Learning Control to suppress the disturbances in Bus Suspension

Swati Gaur*, Sheilza Aggarwal**

* Student M.Tech, Electronics Department, YMCA University of Science and Technology, Faridabad, India.

** Assistant Professor, Electronics Department,YMCA University of Science and Technology, Faridabad, India.

Periodicity:February - April'2013
DOI : https://doi.org/10.26634/jic.1.2.2230

Abstract

This paper presents an application of Iterative Learning Control (ILC) to suppress the disturbances (uneven pavement, pot holes and cracks) in bus suspension system. In this paper, for the design of bus suspension system, a 1/4 bus model (one of the four wheels) is used to simplify the problem to a one dimensional mass-spring-damper system. The open loop behaviour of the system on the basis of time and frequency response is analyzed. The open loop characteristics of the bus suspension system are not satisfactory and require some control technique to improve system characteristics. Through the years, several control techniques have been studied to improve the performance of the bus suspension. The desired system should have short settling time and must have the ability to absorb all the bumping. To achieve these objectives, the present work describes the designing of Iterative Learning Control (ILC) for the bus suspension system. System performances for the desired parameters using ILC are investigated and analysed. Iterative learning control is applied to bus suspension to investigate the performance in terms of disturbance rejection and results are compared with a Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) controller. The whole work of simulation and implementation of the ILC is done by using MATLAB/SIMULINK software.

Keywords

Bus suspension system, Iterative Learning Control, dynamic modeling, MATLAB /SIMULINK.

How to Cite this Article?

Gaur, S., and Aggarwal, S. (2013). Design of Iterative Learning Control to Suppress the Disturbances in Bus Suspension. i-manager’s Journal on Instrumentation and Control Engineering, 1(2), 1-7. https://doi.org/10.26634/jic.1.2.2230

References

[1].R.J.M Coolen, (2003). “Application of Iterative Learning Control to a fourth order system”, Internal Traineeship report nr. DC.47, Eindhoven University of Technology.

[2].M. Uchiyama, (1998). “Formations of high speed motion pattern of mechanical arm by trial”, IEEE transactions of the society of Instrumentation and Control Engineers, vol. 19, pp 706-712.

[3].F. Miyazaki, S. Arimoto and S. Kawamura,(1984). “Bettering operation of robotics control”, Journal of Robotics Control, vol. 1, pp 123-140.

[4].Kevin L Moore,(1993). “Iterative learning control theory for deterministic system”, springer-verlog, London, England.

[5].Johanna Wallen, (2011). “Estimation based iterative learning control”, PhD Thesis, Automatic Control, The Institute of Technology, Linkoping University, 2011.

[6].Gordon, T. J., Marsh, C., and Milsted, M. G., (1991). "A Comparison of Adaptive LQG and Nonlinear Controllers for Vehicle Suspension Systems”, Vehicle System Dynamics, pp. 321-340.

[7].H. Chen, Z. -Y. Liu and P.-Y. Sun, (2005). "Application of Constrained H_Control to Active Suspension Systems on Half-Car Models", Journal of Dynamic Systems, Measurement, and Control, Vol. 127 / 353, Sep.

[8].Alleyne, A., and Hedrick, J. K., (1995). "Nonlinear Adaptive Control of Active Suspensions," IEEE Transactions Control System Technology, 3(1), pp.94-101.

[9].Ben Gaid, M., Cela, A.,Kocik, R., "Distributed control of a car suspension system," COSI - ESIEE - Cit´e Descartes.

[10]. L.X Guo and e. Al, (2012). “Robust H infinitive control of active vehicle suspension under non-stationary running”, Journal of Sound and Vibration.

[11]. MathworksMatlab.[Online]Available: http://www. Mathworks.com/products/matlab/

[12]. Mathworks.Simulink.[Online].Available: http://www. Mathworks.com/products/simulink/

[13]. A. Tewari, (2002). “Modern Control Design with Matlab and Simulink”, John Wiley & Sons, Ltd.

[14]. Nurhan Gursel, Ismail Hakki Atlas and Levent Gumusel, (2006). “ Fuzzy control of bus suspension system”, Proceedings of 5th International Symopsium on Intelligent Manufacturing Systems, Sakarya University, pp 1170-1177, May 29-31.

[15]. Iterative Learning Control – Wikipedia, the free encyclopedia.

[16]. Francisco Martucci Mejia., (2011). “IMC-based iterative learning control of solar plant”, Uppsala University, Thesis.

[17]. Z.Cao, J.H Patel and X.Yu, (2005). “An iterative Learning Controller for induction motor”, 23rd IEEE International Conference on industrial informatics (INDIN), pp 474-477.

[18]. CTMS Example: Bus suspension modeling in SIMULINK.

Design of Iterative Learning Control to suppress the disturbances in Bus Suspension

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