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Hybrid Fuzzy Selecting-Control-by- Range Controllers of a Servopneumatic Fatigue System

Authors: Marco Soares dos Santos, Jorge Augusto Ferreira, Camila Nicola Boeri, Fernando Neto da Silva


The present paper proposes high performance nonlinear force controllers for a servopneumatic real-time fatigue test machine. A CompactRIO® controller was used, being fully programmed using LabVIEW language. Fuzzy logic control algorithms were evaluated to tune the integral and derivative components in the development of hybrid controllers, namely a FLC P and a hybrid FLC PID real-time-based controllers. Their behaviours were described by using state diagrams. The main contribution is to ensure a smooth transition between control states, avoiding discrete transitions in controller outputs. Steady-state errors lower than 1.5 N were reached, without retuning the controllers. Good results were also obtained for sinusoidal tracking tasks from 1/¤Ç to 8/¤Ç Hz.

Keywords: Hybrid Fuzzy Selecting, Control, Range Controllers, Servopneumatic Fatigue System.

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[1] R. Pedro, "Controlo não Linear de um Servo-mecanismo Pneumático", Master Thesis in Automation, Instrumentation and Control, FEUP, University of Porto, Portugal, 2004.
[2] J. Carneiro, F. Almeida, "Modeling Pneumatic Servovalves Using Neural Networks" in Proc. IEEE Conference on Computer Aided Control Systems Design, Munich, Germany, 2006, pp, 790-795.
[3] J. Ferreira, F. Almeida, M. Quintas, "Semi-empirical model for a hydraulic servo-solenoid valve", in Proc. Instn Mech. Engrs, Part I, Journal of Systems and Control Engineering, vol. 216, 2002, pp. 237- 248.
[4] J. Carneiro, "Modelação e Controlo de Actuadores Pneumáticos Utilizando Redes Neuronais Artificiais", PhD Thesis in Mechanical Engineering, University of Porto, Portugal, 2007.
[5] K. Suzumori, S. Endo, T. Kanda, N. Kato, H. Suzuki, "A Bending Pneumatic Rubber Actuator Realizing Soft-bodied Manta Swimming Robot", in Proc. IEEE International Conference on Robotics and Automation, Roma, Italy, 2007, pp. 4975-4980.
[6] E. Mangan, D. Kingsley, R. Quinn, H. Chie1,"Development of a Peristaltic Endoscope", in Proc. IEEE International Conference on Robotics and Automation, Washington, DC, EUA, 2002, pp. 347-352.
[7] A. Pujana-Arrese, J. Arenas, I. Retolaza, A. Martinez-Esnaola, J. Landaluze. "Modelling in Modelica of a Pneumatic Muscle: Application to model an Experimental Set-up", in Proc. 21st European Conference on Modelling and Simulation, 2007.
[8] E. Richer, Y. Hurmuzlu. "A High Performance Pneumatic Force Actuator System: Part II - Nonlinear Controller Design", ASME Journal of Dynamic Systems Measurement and Control, vol. 122, no.3, pp. 426- 434, 2000.
[9] F. Xiang, J. Wikander. "Block-oriented Approximate Feedback Linearization for Control of Pneumatic Actuator System", Control Engineering Practice, vol. 12, no. 4, pp. 387-399, 2004.
[10] P. Dufour, "Control Engineering in Drying Technology: Review and Trends", Drying Technology, vol. 24, no. 7, pp. 889-904, 2006.
[11] K. Passino, S. Yurkovich. "Fuzzy Control", Addison Wesley Longman, Menlo Park, CA, 1998.
[12] H. Zhang, D. Liu, "Fuzzy Modeling and Fuzzy Control", Birkhäuser, Control Engineering, Boston, USA, 2006
[13] S. Tzafestas, A. Venetsanopoulos, "Fuzzy Reasoning in Information, Decision and Control Systems", Kluwer Academic Publishers, Microprocessor-based Systems Engineering, Norwell, MA, USA, 1994
[14] H. Liu, J. Lee, B. Li, "High Precision Pressure Control of a Pneumatic Chamber Using a Hybrid Fuzzy PID Controller", International Journal of a Precision Engineering and Manufacturing, vol. 8, no. 3, pp. 8-13, 2007.
[15] S. Kaitwanidvilai, M. Parnichkun, "Force Control in a Pneumatic System Using Hybrid Adaptive Neuro-fuzzy Model Reference Control", Mechatronics vol. 15, pp. 23-41, 2005.
[16] C. Ying, Z. Jia-fan, Y. Can-jun, N. Bin, "Design and Hybrid Control of the Pneumatic Force-feedback Systems for Arm-Exoskeleton by Using On/off Valve", Mechatronics vol. 17, pp. 325-335, 2007.
[17] L. Ruihua, S Weixiang, Y. Qingyu, "Multi-region Fuzzy Tracking Control For a Pneumatic Servo Squeezing Forces System", in Proc. 5th World Congress on Intelligent Control and Automation, Hangzhou, China, 2004, pp. 4504-4507.
[18] B. Kosko, "Neural Networks and Fuzzy Systems", Prentice-Hall, 1992.
[19] L. Wang, "Adaptative Fuzzy Systems and Control", Prentice-Hall, 1994.
[20] M. Santos, P. Talaia, A. Ramos, J. Ferreira, M. Oliveira, "Servo- Pneumatic Machine to Perform and Monitor Tests on Biomechanical Devices", in Proc. of the 8th Portuguese International Conference on Automatic Control, Vila Real, Portugal, 2008, pages 784 -789.
[21] M. Santos, "Controlo de um Sistema Servopneumático para Ensaios de Fadiga", Master Thesis in Industrial Automation Engineering, University of Aveiro, Aveiro, Portugal, 2009.
[22] J. Ferreira, P. Sun, J. Grácio, "Design and Control of a Hydraulic Press", in Proc. IEEE Conference on Computer Aided Control Systems Design, Munich, Germany, 2006, pp. 814- 819.
[23] P. MacVicar-Whelan, "Fuzzy sets for man-machine interaction", Intl. J. Man-Machine Studies, vol. 8, pp. 687-697, 1976.
[24] J. Carvalho, "Sistemas de Controle Automático", LTC Editora, Rio de Janeiro, 2000.