Utilizing P-Type ILA in tuning Hybrid PID Controller for Double Link Flexible Robotic Manipulator

Annisa, Jamali and Mat Darus, I. Z. and Tokhi, M.O. and Ana Sakura, Zainal Abidin (2018) Utilizing P-Type ILA in tuning Hybrid PID Controller for Double Link Flexible Robotic Manipulator. In: 2018 2nd International Conference on Smart Sensors and Application (ICSSA), 24-26 July 2020, Kuching, Sarawak.

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Official URL: https://ieeexplore.ieee.org/document/8535973


The usage of robotic manipulator with multi-link structure has a great influence in most of the current industries. However, controlling the motion of multi-link manipulator has become a challenging task especially when the flexible structure is used. Currently, the system utilizes the complex mathematics to solve desired hub angle with the coupling effect and vibration in the system. Thus, this research aims to develop the controller for double-link flexible robotics manipulator (DLFRM) with the improvement on hub angle position and vibration suppression. The research utilized DLFRM modeling based on NARX model structure estimated by neural network. In the controllers' development, this research focuses on adaptive controller. PType iterative learning algorithm (ILA) control scheme is implemented to adapt the controller parameters to meet the desired performances when there are changes to the system. The hybrid PID-PID controller is developed for hub motion and end point vibration suppression of each link respectively. The controllers are tested in MATLAB/Simulink simulation environment. The performance of the controller is compared with the fixed hybrid PID-PID controller in term of input tracking and vibration suppression. The results indicate that the proposed controller is effective to move the double-link flexible robotic manipulator to the desired position with suppression of the vibration at the end of the double-link flexible robotic manipulator structure.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: robotic manipulator, flexible, Iterative learning algoritmn , vibration suppression, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Jamali
Date Deposited: 04 Sep 2020 01:58
Last Modified: 04 Sep 2020 01:58
URI: http://ir.unimas.my/id/eprint/31580

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