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 language | English |
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Title of host publication | 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 871-875 |
Number of pages | 5 |
ISBN (Electronic) | 9786050107371 |
Publication status | Published - 2 Jul 2017 |
Event | 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey Duration: 29 Nov 2017 → 2 Dec 2017 |
Publication series
Name | 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 |
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Volume | 2018-January |
Conference
Conference | 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 |
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Country/Territory | Turkey |
City | Bursa |
Period | 29/11/17 → 2/12/17 |
Bibliographical note
Publisher Copyright:© 2017 EMO (Turkish Chamber of Electrical Enginners).