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

Martono, Wahyudi and Ahmad, Wali and Myo, Min Htut (2009) Neural-Tuned PID controller for Point-to-point (PTP) positioning system: model reference approach. In: 5th International Colloquium on Signal Processing and Its Application, 6-8 Mar 2009, Kuala Lumpur.

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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 know,PID(proportionalintegral-derivative) 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 EMRAN (Extended Minimal Resource Allocation Algorithm) 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-objectin 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.

Item Type: Conference or Workshop Item (Speech/Talk)
Additional Information: 4116/19111
Uncontrolled Keywords: industrial engineering, PID controller,
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Nur' Aini Abu Bakar
Date Deposited: 05 May 2012 19:53
Last Modified: 21 Jun 2017 12:58
URI: http://irep.iium.edu.my/id/eprint/19111

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