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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

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.

Keywords


Flexible Joint; Explicit Model Predictive Control; Multi-Parametric Optimization; Discrete Linear Time Invariant System.

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DOI: 10.28991/esj-2019-01177

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