Model Predictive Control Design for SISO LTI system subjected to bounded constraints

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Atul Katiyar, Ajay Yadav, Hari Kumar Singh

Abstract

In this paper Model Predictive Control (MPC)for SISO LTI system is considered. MPC emanates from
dynamicoptimisation where a dynamical system is controlled while minimising the associated performance index and
satisfying all the constraints.Using current measurement of states (if all states are available for measurement elsestate
observer is used) a predicted plant model is obtained on a prediction horizon (N) and using this predicted plant model
we get the predicted performance index which is minimized to get a future control sequence. The first component of the
control sequence is used while rest gets discarded and the at the next instance the whole process is repeated. In this
paper a LTI SISO system is subjected to constraints on both input and output is considered. Simulation results verify the
efficacy of the designed algorithm.

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How to Cite
Atul Katiyar, Ajay Yadav, Hari Kumar Singh. (2021). Model Predictive Control Design for SISO LTI system subjected to bounded constraints. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 9(1), 170–180. https://doi.org/10.17762/turcomat.v9i1.11213
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Research Articles