@inproceedings{76e6202c801b403ba64b0bb73b4dc50f,
title = "Variable cost functions' sequence design for model predictive control of IPMSM without weighting factor",
abstract = "A model predictive control (MPC) based torque and flux control strategy with cascaded cost functions' optimization for electric drive systems is presented in this work. Based on the knowledge of previous step's cost functions' values, an intuitive decision-making logic for the sequence of cost function execution in an online self-adjustable manner is adopted. This eliminates the necessity of weighting factor tuning and calculation as in the conventional methods with a single aggregate cost function. The effectiveness and comparable overall performance of the proposed system are verified through simulations.",
keywords = "Cost function, Electric drives, Model predictive control",
author = "Xuezhu Mei and Ran Zu and Fengxiang Wang and Ralph Kennel",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Information and Automation, ICIA 2018 ; Conference date: 11-08-2018 Through 13-08-2018",
year = "2018",
month = aug,
doi = "10.1109/ICInfA.2018.8812388",
language = "English",
series = "2018 IEEE International Conference on Information and Automation, ICIA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "500--505",
booktitle = "2018 IEEE International Conference on Information and Automation, ICIA 2018",
}