Open AccessSimplified model predictive control with variable weighting factor for current ripple reduction
Author(s) -
Abbaszadeh Alireza,
Khaburi Davood Arab,
Mahmoudi Hamid,
Rodríguez José
Publication year - 2017
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2016.0483
Subject(s) - weighting , control theory (sociology) , ripple , reduction (mathematics) , model predictive control , term (time) , computer science , voltage , mathematics , engineering , control (management) , artificial intelligence , medicine , geometry , electrical engineering , radiology , physics , quantum mechanics
Finite control set model predictive control evaluates a predefined cost function for each switching state of power converter. In addition to reference tracking term, cost function can include a term for switching frequency reduction. Small value for the weighting factor of switching reduction term cannot reduce switching frequency effectively and the great value results in reference tracking failure and increase current ripple. In this study a variable weighting factor based on current ripple is obtained and applied to the cost function. The value of weighting factor changes with the position and magnitude of reference voltage. Simulation and experimental results verify the effectiveness of proposed method.