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MPC and H-Infinity Based Feedback Control of Non-Linear Robotic Manipulator

Ullah, Muhammad Imran; Ajwad, Syed Ali; Irfan, Muhammad; Iqbal, Jamshed

Authors

Muhammad Imran Ullah

Syed Ali Ajwad

Muhammad Irfan



Abstract

Pressing demands of accuracy, repeatability, reliability and productivity in today's robotic applications has highlighted significance of modern control techniques. This research proposes two non-linear design techniques, Model Predictive Control (MPC) and H-infinity control for a six Degree Of Freedom (DOF) robotic arm. The derived dynamics of the manipulator based on Euler Lagrange formulation is used to design the control laws. To characterize and validate the performance, the developed laws are then simulated in MATLAB/Simulink. This paper also investigates the coupling effects between various joints and non-linear dynamics of the manipulator. The controller parameters are fine tuned for optimum response. The control is subjected to various test inputs for investigating trajectory tracking performance. The pilot study shows that the proposed control laws are effective for reducing settling time, overshoot and steady state error for various joints. Simulation results demonstrate that the reference motion trajectories can be followed with adequate accuracy.

Citation

Ullah, M. I., Ajwad, S. A., Irfan, M., & Iqbal, J. (2016, December). MPC and H-Infinity Based Feedback Control of Non-Linear Robotic Manipulator. Presented at FIT 2016 - 14th International Conference on Frontiers of Information Technology, Islamabad, Pakistan

Presentation Conference Type Conference Paper (published)
Conference Name FIT 2016 - 14th International Conference on Frontiers of Information Technology
Start Date Dec 19, 2016
End Date Dec 21, 2016
Acceptance Date Nov 1, 2016
Publication Date Mar 2, 2017
Deposit Date Sep 14, 2021
Publisher Institute of Electrical and Electronics Engineers
Pages 136-141
Book Title Proceedings. 14th International Conference on Frontiers of Information Technology — FIT 2016
ISBN 9781509053001
DOI https://doi.org/10.1109/FIT.2016.033
Public URL https://hull-repository.worktribe.com/output/3797003