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Designe of an adaptive neuro-fuzzy position controller for a pneumatic system

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Main Authors: Mostafa, Marandi, Sassan, Azadi
Other Authors: mostafa_marandi@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Adaptive Neuro-Fuzzy controller
Adaption mechanism
Pneumatic actuator system
Position control
Neural network (Computer science)
Servo pneumatic system
Pneumatic control valves
Process control
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7337
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spelling my.unimap-73372010-01-21T01:46:18Z Designe of an adaptive neuro-fuzzy position controller for a pneumatic system Mostafa, Marandi Sassan, Azadi mostafa_marandi@yahoo.com Adaptive Neuro-Fuzzy controller Adaption mechanism Pneumatic actuator system Position control Neural network (Computer science) Servo pneumatic system Pneumatic control valves Process control Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. Pneumatic actuators are recently used in many application for robotics and automation such as drilling, sawing, spraying, and gripping. This utilization is due to high speed, low cost, and safety characteristics of these actuators. However, the use of pneumatic systems in position control applications is somewhat restricted due to significant system nonlinearities, caused by air compressibility, friction effects and variations of process parameters with time. In recent years, many researchers tried to solve these restrictions by applying adaptive control mechanism. In this work we used a hybrid structure of fuzzy control and neural networks for the control of a pneumatic actuator. Here the neural network used to adjust all of the output membership functions in the fuzzy logic controller and works as a neural adaption mechanism. The steepest descent learning procedure is implemented and the output from a conventional feedback controller is used as an error by neural network for tuning the parameters of the fuzzy controller. Then, we compared our approach with the fuzzy adaption mechanism. The results obtained by simulation, show better performance of the proposed Adaptive Neuro-Fuzzy Control structure. 2009-11-18T04:55:17Z 2009-11-18T04:55:17Z 2009-10-11 Working Paper p.5B9 1 - 5B9 6 http://hdl.handle.net/123456789/7337 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Adaptive Neuro-Fuzzy controller
Adaption mechanism
Pneumatic actuator system
Position control
Neural network (Computer science)
Servo pneumatic system
Pneumatic control valves
Process control
spellingShingle Adaptive Neuro-Fuzzy controller
Adaption mechanism
Pneumatic actuator system
Position control
Neural network (Computer science)
Servo pneumatic system
Pneumatic control valves
Process control
Mostafa, Marandi
Sassan, Azadi
Designe of an adaptive neuro-fuzzy position controller for a pneumatic system
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 mostafa_marandi@yahoo.com
author_facet mostafa_marandi@yahoo.com
Mostafa, Marandi
Sassan, Azadi
format Working Paper
author Mostafa, Marandi
Sassan, Azadi
author_sort Mostafa, Marandi
title Designe of an adaptive neuro-fuzzy position controller for a pneumatic system
title_short Designe of an adaptive neuro-fuzzy position controller for a pneumatic system
title_full Designe of an adaptive neuro-fuzzy position controller for a pneumatic system
title_fullStr Designe of an adaptive neuro-fuzzy position controller for a pneumatic system
title_full_unstemmed Designe of an adaptive neuro-fuzzy position controller for a pneumatic system
title_sort designe of an adaptive neuro-fuzzy position controller for a pneumatic system
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7337
_version_ 1643788781940113408
score 13.222552

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