A Robust Controller for Positioning Control of Pneumatic Servo System: Design and Experiment Tests

Abstract:

The pneumatic cylinders are difficult to be controlled due to flow characteristics of control valves, compressibility of air, and static and dynamic friction forces. This paper describes the development of a robust controller based on H_∞ control theory for positioning control of a high-speed pneumatic cylinder. To design the H_∞ controller, one has selected appropriate weighting functions of pneumatic servo system.Simulation results show that the system is robust during the whole response process and can suppress the disturbance. Finally experiments have been performed with varying supply pressures and load mass. Experimental results imply that good performance and robustness of positioning in pneumatic servo system can be obtained using H_∞ controller.

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 423-427
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.423
• Online since: October 2014
• Authors: Zhong Jie Zhang*
• Keywords: Cushioning Property, H_∞ Controller, Pneumatic Servo System, Weighting Function

References

[1] Z. Rao and G.M. Bone, Nonlinear modeling and control of servo pneumatic actuators, IEEE Trans. Control Syst. Technol., vol. 16, no. 5, pp.562-569, (2008).

DOI: 10.1109/tcst.2007.912127

[2] Matsukuma, T., Song, J., Ishida, Y. and Notoyama, S., PID Control of Pneumatic Cylinders Using Neural Networks, The Japan Hydraulics& Pneumatics Society, Vol. 30, No. 1, pp.28-33, (1998).

[3] J. Wang, J. Pu and P. Moore, A practical control strategy for servo-pneumatic actuator systems, Control Eng. Pract., vol. 7, no. 12, pp.1483-1488, (1999).

DOI: 10.1016/s0967-0661(99)00115-x

[4] Z.J. Zhang, D.T. Kim, M.J. Joo, 'A Study of High Speed Pneumatic Cylinder with a H∞ Control, Proc. Of the KFPS 2011Autumn Conf. pp.17-22, (2011).

[5] X. Shen, J. Zhang and E. J. Barth et al, Nonlinear model-based control of pulse width modulated pneumatic servo systems, Transaction of the ASME. Journal of Dynamic Systems, Measurement and Control, vol. 128, no. 3, pp.663-669, (2006).

DOI: 10.1115/1.2232689

[6] S. Shibata, M. Jin dai and T. Yamamoto et al, A disturbance estimation type control for pneumatic servo system using neural network, JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing, vol. 49, no. 1, pp.189-196, (2006).

DOI: 10.1299/jsmec.49.189

[7] M. Smaoui, X. Brun and D. Thomasset, A study on tracking position control of an electro pneumatic system using back-stepping design, Control Engineering Practice, vol. 14, no. 8, pp.923-933, (2006).

DOI: 10.1016/j.conengprac.2005.05.003