Accurate Control of a Pneumatic System using an Innovative Fuzzy Gain-Scheduling Pattern
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Accurate Control of a Pneumatic System using an Innovative Fuzzy Gain-Scheduling Pattern

Authors: M. G. Papoutsidakis, G. Chamilothoris, F. Dailami, N. Larsen, A Pipe

Abstract:

Due to their high power-to-weight ratio and low cost, pneumatic actuators are attractive for robotics and automation applications; however, achieving fast and accurate control of their position have been known as a complex control problem. A methodology for obtaining high position accuracy with a linear pneumatic actuator is presented. During experimentation with a number of PID classical control approaches over many operations of the pneumatic system, the need for frequent manual re-tuning of the controller could not be eliminated. The reason for this problem is thermal and energy losses inside the cylinder body due to the complex friction forces developed by the piston displacements. Although PD controllers performed very well over short periods, it was necessary in our research project to introduce some form of automatic gain-scheduling to achieve good long-term performance. We chose a fuzzy logic system to do this, which proved to be an easily designed and robust approach. Since the PD approach showed very good behaviour in terms of position accuracy and settling time, it was incorporated into a modified form of the 1st order Tagaki- Sugeno fuzzy method to build an overall controller. This fuzzy gainscheduler uses an input variable which automatically changes the PD gain values of the controller according to the frequency of repeated system operations. Performance of the new controller was significantly improved and the need for manual re-tuning was eliminated without a decrease in performance. The performance of the controller operating with the above method is going to be tested through a high-speed web network (GRID) for research purposes.

Keywords: Fuzzy logic, gain scheduling, leaky integrator, pneumatic actuator.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1062202

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References:


[1] Gerard Scorletti, Lauren El Chaoui, "Improved Linear Matrix Inequality Conditions for Gain Scheduling and Related Control Problems", International Journal of Robust and Nonlinear Control, issue 8, pp.845- 877, 1998.
[2] Hao Ying, Yongsheng Ding, Shaokan Li, Shihuang Shao, "Comparison of Necessary Conditions for Typical Tagaki-Sugeno and Mamdani Fuzzy Systems as Universal Approximators", IEEE Transactions on Systems, Man and Cybernetics, Vol 29, No 5, September 1999.
[3] Jianfeng Feng, "Effects of Correlated and Synchronised Inputs to Leaky Integrator Neuronal Model", Computational Neoroscience Laboratory, The Babraham Institute, Cambridge, UK
[4] King, R., A. Stathaki, "Fuzzy Gain Shceduling Control of Nonlinear Processes", Department of Electrical and Computer Engineering, University of Patras, Greece.
[5] Lee, C.-C., "Fuzzy logic in control systems: fuzzy logic controller-parts 1 and 2", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 20, No. 2, pp 404-435, 1990.
[6] Leith, D., W.E. Leithhead, "Survey of Gain-Scheduling Analysis & Design" Department of Electronic & Electrical, University of Strathclyde, Glasgow, Scotland.
[7] L├¡a Garc├¡a-Pérez, José M. Ca├▒as, Mar├¡a C.Garc├¡a-Alegre, Pablo Y├í├▒ez, Domingo Guinea, ÔÇÿFuzzy control of an electropneumatic actuator-, IEEE Trans. System, Man and Cybernetics, Jan.1996.
[8] Ming-Chang Shih and Niarn-Liarng Luor, ÔÇÿSelf-Tuning Neural Fuzzy Control the Position of a Pneumatic Cylinder Under Vertical Load- ,IEEE Trans. on IE, Vol. 39, No. 6, pp. 472-489, 1992.
[9] Moreno Llagostera, "Control of a Pneumatic Servosystem using Fuzzy Logic", Proceedings of 1st FPNI-PhD Symp. Hamburg 2000, pp 189- 201.
[10] Pauli Viljamaa, "Fuzzy gain Scheduling and Tuning of Multivariable Fuzzy Control-Methods of Fuzzy Computing in Control Systems", PhD Thesis, Tampere University of Technology, 2002.
[11] Zhen-Yu Zhao, Masayoshi Tomizuka, "Fuzzy Gain Shceduling of PID Controllers", IEEE Transactions on Systems, Man and Cybernetics, vol.23 No5, 1993.
[12] M. J. Mineter, C. H. Jarvis and S. Dowers, "From Stand-alone Programs Towards GRID-aware Services and Components: a Case Study in Modelling & Software", Environmental Modelling & Software, vol 18, issue 4, April 2003, Pages 379-391.
[13] Brian Tierney, William Johnson, Jason Lee and Mary Thompson, " A Data intensive Distributed Computing Architecture for GRID Applications", Future Generation Computer Systems, vol 16, Issue 5, March 2000, p473-481.
[14] Agranat D., "Engineering Web Technologies for Embedded Applications, Internet Computing", vol 3, No 3, June 1998.