التفاصيل البيبلوغرافية
العنوان: |
Multistep Model Predictive Control for Electrical Drives—A Fast Quadratic Programming Solution |
المؤلفون: |
Haotian Xie, Jianming Du, Dongliang Ke, Yingjie He, Fengxiang Wang, Christoph Hackl, José Rodríguez, Ralph Kennel |
المصدر: |
Symmetry; Volume 14; Issue 3; Pages: 626 |
بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
سنة النشر: |
2022 |
المجموعة: |
MDPI Open Access Publishing |
مصطلحات موضوعية: |
predictive current control, quadratic programming, multistep, fast solver, symmetry topology |
الوصف: |
Due to its merits of fast dynamic response, flexible inclusion of constraints and the ability to handle multiple control targets, model predictive control has been widely applied in the symmetry topologies, e.g., electrical drive systems. Predictive current control is penalized by the high current ripples at steady state because only one switching state is employed in every sampling period. Although the current quality can be improved at a low switching frequency by the extension of the prediction horizon, the number of searched switching states will grow exponentially. To tackle the aforementioned issue, a fast quadratic programming solver is proposed for multistep predictive current control in this article. First, the predictive current control is described as a quadratic programming problem, in which the objective function is rearranged based on the current derivatives. To avoid the exhaustive search, two vectors close to the reference derivative are preselected in every prediction horizon. Therefore, the number of searched switching states is significantly reduced. Experimental results validate that the predictive current control with a prediction horizon of 5 can achieve an excellent control performance at both steady state and transient state while the computational time is low. |
نوع الوثيقة: |
text |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
Engineering Science and Symmetry/Asymmetry; https://dx.doi.org/10.3390/sym14030626 |
DOI: |
10.3390/sym14030626 |
الاتاحة: |
https://doi.org/10.3390/sym14030626 |
Rights: |
https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.16ACBB53 |
قاعدة البيانات: |
BASE |