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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 5, Issue 3, Pages 624-644, DOI: https://doi.org/10.21307/ijssis-2017-499
License : (CC BY-NC-ND 4.0)
Received Date : 30-June-2012 / Accepted: 04-August-2012 / Published Online: 01-September-2012
Pneumatic actuators offer several advantages over electromechanical and hydraulic actuators for positioning applications. Nonetheless, pneumatic actuators are subject to high friction forces, dead band and dead time, which make fast and accurate position control difficult to achieve. This research paper presents the process of controller identification, design, modeling and control for pneumatic actuator system. System Identification approach is used with the purpose to estimate the mathematical model of pneumatic actuator system and for controller design. Data collection of input and output signal of the system has been performed from experiment procedure. This data is used for estimate the model by selecting Auto-Regressive Exogenous (ARX) model as a model structure. The accepted model is based validation test namely as residual correlation, Akaike Final Prediction Error and best fit percentage. Different control schemes such as PID and LQR (Linear Quadratic Regulator) have been applied for controller design. PID controllers with Ziegler Nichols tuning are enabled to provide good performance in various systems. The effects of Tustin transformation, zero order hold and discrete model are tested in PID controller designed. The methodology for this paper combines off-line model based on analysis with on-line iteration. Different external loads are added in order to investigate the effectiveness to the designed controllers in real time system. The tracking performance of the closed loop system is satisfied which offers considerable robustness even on a slight increase in load. The results obtained in the experiment are successful to prove that the output signals which with the controller are almost the same for both simulation and experimental modes.
 Hazem I. Ali, Samsul Bahari B Mohd Noor, S.M Bashi, M.H Marhaban, A review of Pneumatic Actuators (Modeling and Control), Australian Journal of Basic and Applied Sciences, 3(2): 440-454,
 Amin Mohammadbagheri, Narges Zaeri and Mahdi Yaghoobi, Comparison Performance Between PID and LQR Controllers for 4-leg Voltage-Source Inverters, International Conference Circuit, System and Simulation, 2011
 Igor L Krivts, German V Krejnin, Pneumatic Actuating Systems for Automatic Equipment Structure and Design, Taylor & Francis Group, 2006.
 Jian-Bo He, Qing-Guo Wang and Tong-Heng Lee, PI/ PID Controller Tuning via LQR Approach, IEEE Conference on Decision & Control, 1998.
 Joachim Schroder, Duygun Erol, Kazuhiko Kawamura, Riidiger Dillman, Dynamic Pneumatic Actuator Model for a Model-Based Torque Controller, IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2003.
 Mark Karpenko, Nariman Sepehri, Design and Experimental Evaluation of a Nonlinear Position Controller for a Pneumatic Actuator with Friction, American Control Conference, 2004
 Nikolay A. Markov, Ilya A.Shipitko, Taras V. Benzrushko, Synthesis of the Position Controller for the Pneumatic Actuator, Siberian Conference on Control and Communications SIBCON, 2009
 T.Kosaki, M. Sano, A Compliance Controller for a Pneumatic Actuator with Observer-Based Friction Compensation, IMACS Multiconferences (CESA), 2006.
 R.Ghazali, Y.M.Sam, M.F.Rahmat and Zulfatman, Recursive parameter estimation for discrete-time model of an electro-hydraulic servor system with varying forgetting factor. International Journal of the Physical Sciences Vol 6(30), page 6829-6842, 23 November 2011
 M.F. Rahmat, Sy Najib Sy Salim, N.H Sunar, Ahmad' Athif Mohd Faudzi, Zool Hilmi, Ismail K.Huda, Identification and non-linear control strategy for industrial pneumatic actuator, International Journal of Physical Sciences Vol. 7(17), pp. 2565 - 2579, 23 April, 2012.
 S. Md. Rozali, M.F. Rahmat, N Abdul Wahab, R. Ghazali and Zulfatman, PID Controller Design for an Industrial Hydraulic Actuator with Servo System, IEEE Student Conference on Research and Development (SCOReD 2010), 2010.
 R. Ghazali, Y.M. Sam. M.F Rahmat, K. Jusoff, Zulfatman, A.W.I.M. Hashim, Self-Tuning Control of an Electro-Hydraulic Actuatior System, International Journal on Smart Sensing and Intelligent Systems Vol 4, No 2, June 2011.
 M.Tham, Discretised PID Controllers, Chemical Engineering and Advanced Materials, University of Newcastle Upon Tyne, 1996-1998.
 Jim McLellan, Using Matlab and the System Identification Toolbox to Estimate Time Series Models, February 2004
 A.N.K. Nasir, M.A. Ahmad and M.F. Rahmat, Performance Comparison between LQR and PID Controller for an Inverted Pendulum System, International Conference on Power Control and Optimization, July 2008.
 Mei Li, Chen Chen and Wenlin Liu, Identification based on MATLAB, International Workshop on Information Security and Application (IWISA 2009), 2009.
 Jacques F Smuts, Process Control for Practitioners, OptiControls Inc., October 14, 2011.
 Wodek Gawronski, Modeling and Control of Antennas and Telescopes, Springer Inc, ISBN 978-0-387-78792-3, 2008.
 Xue, Dingyu, YangQuan Chen, Derek P.Atherton, Linear Feedback Control Analysis and Design with MATLAB, Society for Industrial and Applied Mathematics Philadelphia, 183-218, 2007.