Towards a Nonlinear Model Predictive Control using the Extended Modal Series Method

Carlos Andres Devia, Maria Camila Roa, Julian Colorado, And Diego Patino

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper addresses the Nonlinear Model Predictive Control of input-affine systems. Based on the Extended Modal Series Method, an explicit suboptimal control law is deduced that solves the two point boundary problem given by Pontryagin's Maximum Principle in the related Nonlinear Optimal Control Problem. The deduction of the control law is presented and proven. Then the proposed controller is tested in simulation in the attitude control of a quadrotor, a highly nonlinear and unstable system. The simulation results indicate good performance and near optimal behavior. This work is a background for future development of control techniques for input-affine systems.

Original languageEnglish
Title of host publication2018 European Control Conference, ECC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages679-684
Number of pages6
ISBN (Electronic)9783952426982
DOIs
StatePublished - 27 Nov 2018
Event16th European Control Conference, ECC 2018 - Limassol, Cyprus
Duration: 12 Jun 201815 Jun 2018

Publication series

Name2018 European Control Conference, ECC 2018

Conference

Conference16th European Control Conference, ECC 2018
Country/TerritoryCyprus
CityLimassol
Period12/06/1815/06/18

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