Active set method based model predictive control for a ball and beam system

Handan Nak, Şirin Akkaya, Erhan Yumuk

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

4 Citations (Scopus)

Abstract

Model predictive control is an optimal control method that requires the solution of a quadratic programming problem with constraints at each sampling time. In this study, an active set method is used to solve the problem. The whole control algorithm is written through Matlab editor so that it can be run in embedded systems. A ball and beam system model is utilized to investigate the performance of the controller structure. The simulations are conducted with two different cost functions. The results illustrate that the constructed control system exhibits satisfactory performance in the sense of system response and constraints.

Original languageEnglish
Title of host publication2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages871-875
Number of pages5
ISBN (Electronic)9786050107371
Publication statusPublished - 2 Jul 2017
Event10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey
Duration: 29 Nov 20172 Dec 2017

Publication series

Name2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume2018-January

Conference

Conference10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Country/TerritoryTurkey
CityBursa
Period29/11/172/12/17

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

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