Development of new high-performance induction heating systems using model predictive control

Lucia, S. ; Navarro, D. (Universidad de Zaragoza) ; Sarnago, H. (Universidad de Zaragoza) ; Lucia, O. (Universidad de Zaragoza)

Resumen: Modern induction heating systems involve usually many non-linear systems with different constraints, making difficult implementing classical controllers. In this context, model predictive control arises as a powerful technique able to provide high performance controllers with advanced functionalities. This paper will discuss the benefits of this control technique for induction heating systems and will provide an example of application for domestic systems. As a conclusion, MPC will help powering future induction heating systems with improved control capabilities and performance.

Idioma: Inglés

DOI: 10.3233/JAE-209104

Año: 2020

Publicado en: International journal of applied electromagnetics and mechanics 63, S1 (2020), S101-S108
ISSN: 1383-5416

Factor impacto JCR: 0.706 (2020)

Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 256 / 273 = 0.938 (2020) - Q4 - T3
Categ. JCR: PHYSICS, APPLIED rank: 153 / 160 = 0.956 (2020) - Q4 - T3
Categ. JCR: MECHANICS rank: 127 / 135 = 0.941 (2020) - Q4 - T3

Factor impacto SCIMAGO: 0.238 - Condensed Matter Physics (Q3) - Electrical and Electronic Engineering (Q3) - Mechanics of Materials (Q3) - Mechanical Engineering (Q3) - Electronic, Optical and Magnetic Materials (Q3)

Financiación: info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/RTC-2017-5965-6
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2016-78358-R

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)