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Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach

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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Bibliographic Details
Main Authors: Wahyudi, Wali Ahmad, Min Htut, Myo
Other Authors: wahyudi@iiu.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Point-to-Point (PTP)
Motion control systems
Automatic control
PID controllers > Design and construction
PID controllers
Motion control
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7283
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spelling my.unimap-72832010-01-21T01:44:05Z Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach Wahyudi, Wali Ahmad Min Htut, Myo wahyudi@iiu.edu.my Point-to-Point (PTP) Motion control systems Automatic control PID controllers -- Design and construction PID controllers Motion 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. Point-to-Point (PTP) motion control systems play an important role in industrial engineering applications such as advanced manufacturing systems, semiconductor manufacturing systems and robot systems. Until now, Proportional-Integral-Derivative (PID) controllers are still the most popular controller used in industrial control systems including PTP motion control systems due to their simplicity and also satisfactory performances. However, since the PID controller is developed based on the linear control theory, the controller gives inconsistent performance for different condition due to system nonlinearities. In order to overcome this problem, Neural-tuned PID control using Model Reference Adaptive Control (MRAC) is proposed. By using Extended Minimal Resource Allocation Algorithm (EMRAN) to train the Radial Basis Funciton (RBF) Network, the PID controller can learn, adapt and change its parameters based on the condition of the controlled-object in real-time. The effectiveness of the proposed method is evaluated experimentally in real time using an experimental rotary positioning system. The experimental results show that the proposed system is better than classical PID controller in terms of not only positioning performance but also robustness to inertia variations. 2009-11-13T02:36:23Z 2009-11-13T02:36:23Z 2009-10-11 Working Paper http://hdl.handle.net/123456789/7283 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 Point-to-Point (PTP)
Motion control systems
Automatic control
PID controllers -- Design and construction
PID controllers
Motion control
spellingShingle Point-to-Point (PTP)
Motion control systems
Automatic control
PID controllers -- Design and construction
PID controllers
Motion control
Wahyudi, Wali Ahmad
Min Htut, Myo
Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
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 wahyudi@iiu.edu.my
author_facet wahyudi@iiu.edu.my
Wahyudi, Wali Ahmad
Min Htut, Myo
format Working Paper
author Wahyudi, Wali Ahmad
Min Htut, Myo
author_sort Wahyudi, Wali Ahmad
title Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
title_short Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
title_full Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
title_fullStr Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
title_full_unstemmed Neural-tuned PID controller for Point-to-point (PTP) positioning system: model reference approach
title_sort neural-tuned pid controller for point-to-point (ptp) positioning system: model reference approach
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7283
_version_ 1643788747800576000
score 13.187209

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