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Farzad Towhidkhah
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran,
Environmental Science

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Position Control of a Flexible Joint via Explicit Model Predictive Control: An Experimental Implementation Massoud Hemmasian Ettefagh; Mahyar Naraghi; Farzad Towhidkhah
Emerging Science Journal Vol 3, No 3 (2019): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1437.764 KB) | DOI: 10.28991/esj-2019-01177

Abstract

This paper experimentally controls a flexible joint via explicit model predictive control (Explicit MPC) method. The scheme divides the state space into different partitions, then solves the associated multi parametric optimization in off-line computations. The result stores in a look-up table to be used in on-line algorithm. First, the state space equations of the flexible joint are derived and linearized around the working point. Then, in order to meet the plant’s specifications, desired performance and the limitation of processor/memory, the constraints, weights, sampling time and prediction horizon are determined for the system. Finally, the algorithm is applied on the experimental plant. Numerous simulations, the result of the experiment and comparison with other methods confirmed that the method was able to control the vibrations of the constrained flexible joint.
Co-Authors Mahyar Naraghi Massoud Hemmasian Ettefagh