Economic Model Predictive Controller Design with a New Cost Function for Linear Systems

Sasan Sadafi, Peyman Bagheri, Farzad Hashemzadeh

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

In this study, by combining model predictive control with economic model predictive control, a new variable cost function with tracking error is presented to have optimal and efficient tracking performance for first-order linear systems. Weigh matrices, which are often considered constant, in this paper are considered variable with tracking error. The criterion for comparing the proposed controller with other conventional predictive controllers is the steady-state error with the least energy consumption. The stability of the closed loop system under new controller is proved and the effectiveness of the proposed method is verified with some simulation examples.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9780738124056
DOI'lar
Yayın durumuYayınlandı - 23 Şub 2021
Harici olarak yayınlandıEvet
Etkinlik7th International Conference on Control, Instrumentation and Automation, ICCIA 2021 - Tabriz, Iran, Islamic Republic of
Süre: 23 Şub 202124 Şub 2021

Yayın serisi

Adı2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021

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???event.eventtypes.event.conference???7th International Conference on Control, Instrumentation and Automation, ICCIA 2021
Ülke/BölgeIran, Islamic Republic of
ŞehirTabriz
Periyot23/02/2124/02/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

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