Inverse optimal control approach to model predictive control for linear system models

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

7 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar823-827
Sayfa sayısı5
ISBN (Elektronik)9786050107371
Yayın durumuYayınlandı - 2 Tem 2017
Etkinlik10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey
Süre: 29 Kas 20172 Ara 2017

Yayın serisi

Adı2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Hacim2018-January

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???event.eventtypes.event.conference???10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Ülke/BölgeTurkey
ŞehirBursa
Periyot29/11/172/12/17

Bibliyografik not

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

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