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PI adaptive neuro-fuzzy and receding horizon position control for intelligent pneumatic actuator

Hikmat, Omer Faris and Mohd. Faudzi, Ahmad 'Athif and Elnimair, Mohamed Omer and Osman, Khairuddin (2014) PI adaptive neuro-fuzzy and receding horizon position control for intelligent pneumatic actuator. Jurnal Teknologi (Sciences and Engineering), 67 (3). pp. 17-24. ISSN 2180-3722

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Official URL: http://dx.doi.org/10.11113/jt.v67.2759

Abstract

Pneumatic systems are widely used in automation industries and in the field of automatic control. Intelligent Pneumatic Actuators (IPA) is a new generation of actuators designed and developed for research and development (R&D) purposes. This work proposes two control approaches, Proportional Integral Adaptive Neuro-Fuzzy (PI-ANFIS) controller and Receding Horizon Controller (RHC), for IPA position control. The design steps of the controllers are presented. MATLAB/SIMULINK is used as a tool to implement the controllers. The design is based on a position identification model of the IPA. The simulation results are analyzed and compared with previous work on the IPA to illustrate the performance of the proposed controllers. The comparison shows a significant improvement in IPA position control after using the new controllers

Item Type:Article
Uncontrolled Keywords:intelligent pneumatic actuator, neuro-fuzzy, position control, receding horizon
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:54500
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:05 Apr 2016 06:59
Last Modified:12 Aug 2018 03:56

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