Abstract
In this study, we propose an inverse optimal control based model predictive control approach. In inverse optimal control strategy, we firstly construct a stabilizing feedback control law and then search a meaningful cost functional. In that respect, we develop an alternative to solving the Riccati equation in MPC for linear time invariant system models. The control law is established with an appropriate scalar matrix which is found by using Big-Bang Big-Crunch(BB-BC) optimization algorithm. Simulations are done on a liquid level control system and the performance of the proposed method is compared with the performances of the classical model predictive, linear quadratic regulator and classical discrete time PID controller methods. The performance of the proposed controller is much better than the other controllers in respect to various criteria.
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 | 823-827 |
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).