Position Tracking of Pneumatic Actuator with Loads by Using Predictive and Fuzzy Logic Controller

Ahmad Athif Mohd Faudzi; Nu’man din Mustafa; M. Asyraf Azman; Khairuddin Osman

doi:10.4028/www.scientific.net/AMR.903.259

Paper Titles

Controller Design for Vector Controlled AC Induction Motor Drive Using State-Space Design Methodologies
p.233

A Review of Solar Air Heater for Drying of Agricultural Products
p.239

From Manufacturing to Logistics: Development of a Kinematic for Autonomous Unloading of Containers
p.245

Mechatronical Product Design Combined with Optimized Dynamic Behavior of Components
p.252

Position Tracking of Pneumatic Actuator with Loads by Using Predictive and Fuzzy Logic Controller
p.259

Robust PID Controller Tuning for 2D Gantry Crane Using Kharitonov's Theorem and Differential Evolution Optimizer
p.267

Issue on Calibration of Direct Feed Biconical Antenna in a Semi-Anechoic Chamber Using Standard Antenna Method
p.273

Bouc-Wen Model Parameter Identification for a MR Fluid Damper Using Particle Swarm Optimization
p.279

Performance Analysis for a Gantry Crane System (GCS) Using Priority-Based Fitness Scheme in Binary Particle Swarm Optimization
p.285

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 903Position Tracking of Pneumatic Actuator with Loads...

Position Tracking of Pneumatic Actuator with Loads by Using Predictive and Fuzzy Logic Controller

Abstract:

This paper presented two control approaches for position control of a pneumatic actuator, which are Generalized Predictive Controller (GPC) and Proportional-Derivative Fuzzy Logic Controller (PD-Fuzzy). Both controllers are designed using MATLAB/Simulink platform. The simulation results are then validated with real-time experiment. In order to test the controller's performance, external load is used and the results for both controllers are compared and analyzed. Results for both controllers show high accuracy and fast response for position tracking.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 903)

Pages:

259-266

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.903.259

Citation:

Cite this paper

Online since:

February 2014

Authors:

Ahmad Athif Mohd Faudzi*, Nu’man din Mustafa, M. Asyraf Azman, Khairuddin Osman

Keywords:

Generalized Predictive Control, PD-Fuzzy Controller, Pneumatic Actuator, Real-Time Experiment

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Gentile, N. I. Giannoccaro and G. Reina, Experimental tests on position control of a pneumatic actuator using on/off solenoid valves, IEEE International Conference on Industrial Technology - IEEE ICIT '02 (2002) vol. 1, pp.555-559.

DOI: 10.1109/icit.2002.1189959

Google Scholar

[2] M. Faudzi, K. Osman, M. F. Rahmat, N. D. Mustafa, M. A. Azman and K. Suzumori, Nonlinear mathematical model of an Intelligent Pneumatic Actuator (IPA) systems: Position and force controls, in IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2012, pp.1105-1110.

DOI: 10.1109/aim.2012.6266014

Google Scholar

[3] A. M. Faudzi, N. m. D. Mustafa, K. b. Osman, M. A. Azman and K. Suzumori, GPC Controller Design for an Intelligent Pneumatic Actuator. Procedia Engineering, 2012. 41(0): pp.657-663.

DOI: 10.1016/j.proeng.2012.07.226

Google Scholar

[4] Xiaochun George, W. and K. Chris Kyung-Hyun, Improved control of pneumatic lumber-handling systems. IEEE Transactions on Control Systems Technology, 2001. 9(3): pp.458-472.

DOI: 10.1109/87.918899

Google Scholar

[5] Nagi, F., and Perumal, L., Optimization of fuzzy controller for minimum time response. Mechatronics 19(3), (2009) 325–333.

DOI: 10.1016/j.mechatronics.2008.11.005

Google Scholar

[6] Faudzi, A. A., M. A. Azman, et al., PD-Fuzzy Logic Controller Design for Position Control of Intelligent Pneumatic Actuator System. Trends in Intelligent Robotics, Automation, and Manufacturing. Springer Berlin Heidelberg. (2012). 330: 288-295.

DOI: 10.1007/978-3-642-35197-6_32

Google Scholar

[7] Ahmad 'Athif Mohd Faudzi, Development of Intelligent Pneumatic Actuators and Their Applications to Physical Human-Mechine Interaction System, Ph.D. Thesis, The Graduate School of Natural Science and Technology, Okayama University, Japan, September, (2010).

Google Scholar

[8] K. Osman, A. A. M. Faudzi, M. F. Rahmat, N. m. D. Mustafa, M. A. Azman and K. Suzumori, System Identification model for an Intelligent Pneumatic Actuator (IPA) system, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012, pp.628-633.

DOI: 10.1109/iros.2012.6385751

Google Scholar

[9] Bordons, C. and E.F. Camacho, A generalized predictive controller for a wide class of industrial processes. Control Systems Technology, IEEE Transactions on, 1998. 6(3): pp.372-387.

DOI: 10.1109/87.668038

Google Scholar

[10] Clarke, D.W., C. Mohtadi, and P.S. Tuffs, Generalized predictive control—Part I. The basic algorithm. Automatica, 1987. 23(2): pp.137-148.

DOI: 10.1016/0005-1098(87)90087-2

Google Scholar

[11] Khan, S., Abdulazeez, S.F., et al.: Design and implementation of an optimal fuzzy logic controller using genetic algorithm. Journal of Computer Science 4(10), (2008)799–806.

DOI: 10.3844/jcssp.2008.799.806

Google Scholar