Integrating Servo-Pneumatic Actuator with Ball Beam System based on Intelligent Position Control

Authors

  • Muhammad Asyraf Azman Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ahmad ‘Athif Mohd Faudzi Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Nu’man Din Mustafa Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Khairuddin Osman Department of Industrial Electronics, Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia
  • Elango Natarajan School of Mechanical Engineering, Kolej Universiti Linton, Mantin, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.11113/jt.v69.3146

Keywords:

Pneumatic actuator, ball and beam, fuzzy controller

Abstract

The purpose of this paper is to design a controller that can control the position of the cylinder pneumatic stroke. This work proposes two control approaches, Proportional-Integral-Derivative Fuzzy Logic (Fuzzy-PID) controller and Proportional-Derivative Fuzzy Logic (PD-Fuzzy) controller for a Servo-Pneumatic Actuator. The design steps of each controller implemented on MATLAB/Simulink are presented. A model based on position system identification is used for the controller design. Then, the simulation results are analyzed and compared to illustrate the performance of the proposed controllers. Finally, the controllers are tested with the real plant in real-time experiment to validate the results obtained by simulation. Results show that PD-Fuzzy controller offer better control compared to Fuzzy-PID. A Pneumatic Actuated Ball & Beam System (PABBS) is proposed as the application of the position controller. The mathematical model of the system is developed and tested simulation using Feedback controller (outer loop)-PD-Fuzzy controller (inner loop). Simulation result is presented to see the effectiveness of the obtained model and controller. Results show that the servo-pneumatic actuator can control the position of the Ball & Beam system using PD-Fuzzy controller.

References

Hazem I. Ali, Samsul Bahari B Mohd Noor, S. M. Bashi and M. H. Marhaban. 2009. A Review of Pneumatic Actuators (Modeling and Control). Australian Journal of Basic and Applied Science. 3 (2): 440–454.

G. K. I. Mann, H. Bao-Gang and R. G. Gosine. 1999. Analysis of Direct Action Fuzzy PID Controller Structures. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics. 29(3): 371–388.

L. A. Zadeh (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IEEE Transactions on Systems, Man and Cybernetics. SMC-3(1): 28–44.

E. H. Mamdani (1974). Application of Fuzzy Algorithms for Control of Simple Dynamic Plant. Proceedings of the Institution of Electrical Engineers. 121(12): 1585–1588.

E. H. Mamdani and S. Assilian. 1975. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Man-Machine Studies. 7(1): 1–13.

T. Takagi and M. Sugeno. 1985. Fuzzy Identification of Systems and Its Applications to Modeling and Control. IEEE Transactions on Systems, Man and Cybernetics. SMC-15(1): 116–132.

M. Amjad, M. I. Kashif, S. S. Abdullah and Z. Shareef. 2010. Fuzzy Logic Control of Ball and Beam System. 2nd International Conference on Education Technology and Computer (ICETC). 22-24 June 2010. V3-489-V3-493

Mohammad Keshmiri, Ali Fellah Jahromi, Abolfazl Mohebbi, M. H. A. and and W.-F. Xie. 2012. Modeling and Control of Ball and Beam System using Model Based and Non-Model Based Control Approaches. International Journal on Smart Sensing and Intelligent Systems. 5(1).

C. Wenzhuo, S. Xiaomei and X. Yonghui. 2012. Modeling and Modulation of Nonlinear Ball-beam System Controller Based on Matlab. 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). 29-31 May 2012. 2388–2391.

A. A. M. Faudzi. 2010. Development of Intelligent Pneumatic Actuators and Their Applications to Physical Human-Mechine Interaction System. PhD. The Graduate School of Natural Science and Technology, Okayama University.

K. Osman, A. A. M. Faudzi, M. F. Rahmat, N. D. Mustafa, M. A. Azman and K. Suzumori. 2012. System Identification Model for an Intelligent Pneumatic Actuator (IPA) System. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 7-12 Oct. 2012. 628–633.

S. Khan, S. F. Abdulazeez, L. W. Adetunji, A. H. M. Z. Alam, M. J. E. Salami, S. A. Hameed, A. H. Abdalla and M. R. Islam. 2008. Design and Implementation of an Optimal Fuzzy Logic Controller Using Genetic Algorithm. Journal of Computer Science. 4 (10): 799–806.

N. S. Nise. 2008. Control Systems Engineering. 5th. John Wiley & Sons, Inc.

Downloads

Published

2014-06-20

How to Cite

Integrating Servo-Pneumatic Actuator with Ball Beam System based on Intelligent Position Control. (2014). Jurnal Teknologi (Sciences & Engineering), 69(3). https://doi.org/10.11113/jt.v69.3146