P-Adaptive Neuro-Fuzzy and PD-Fuzzy controller design for position control of a modified single acting pneumatic cylinder

Author

Azman, M. Asyraf ; Faudzi, A.A.M. ; Elnimair, Mohamed Omer ; Hikmat, Omer F. ; Osman, Khairuddin ; Chai Chang Kai

Author_Institution

Dept. of Control & Mechatron. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2013

fDate

9-12 July 2013

Firstpage

176

Lastpage

181

Abstract

Pneumatic systems are widely used in the automation industry and in the field of automatic control. This work proposes two control approaches, Proportional Adaptive Neuro-Fuzzy (P-ANFIS) controller and PD-Fuzzy (PDFLC) controller for a modified single acting pneumatic cylinder position control. 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 realtime experiment to validate the results obtained by simulation. Results show that P-ANFIS controller offer better control compared to PDFLC.

Keywords

PD control; adaptive control; control system synthesis; factory automation; fuzzy control; fuzzy neural nets; neurocontrollers; pneumatic control equipment; position control; MATLAB/Simulink; P-ANFIS controller; P-adaptive neuro-fuzzy controller design; PD-fuzzy controller design; PDFLC; automatic control; automation industry; modified single acting pneumatic cylinder position control; position system identification; proportional adaptive neurofuzzy controller; Equations; Tin;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on

Conference_Location

Wollongong, NSW

ISSN

2159-6247

Print_ISBN

978-1-4673-5319-9

Type

conf

DOI

10.1109/AIM.2013.6584088

Filename

6584088