Parallel Computing Utilization in Nonlinear Model Predictive Control of Permanent Magnet Synchronous Motor

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F24%3APU152233" target="_blank" >RIV/00216305:26620/24:PU152233 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10669580" target="_blank" >https://ieeexplore.ieee.org/document/10669580</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2024.3456432" target="_blank" >10.1109/ACCESS.2024.3456432</a>

Result language

angličtina

Original language name

Parallel Computing Utilization in Nonlinear Model Predictive Control of Permanent Magnet Synchronous Motor

Original language description

Permanent Magnet Synchronous Motor (PMSM) drives are widely used for motion control industrial applications and electrical vehicle powertrains, where they provide a good torque-to-weight ratio and a high dynamical performance. With the increasing usage of these machines, the demands on exploiting their abilities are also growing. Usual control techniques, such as field-oriented control (FOC), need some workaround to achieve the requested behavior, e.g., field-weakening, while keeping the constraints on the stator currents. Similarly, when applying the linear model predictive control, the linearization of the torque function and defined constraints lead to a loss of essential information and sub-optimal performance. That is the reason why the application of nonlinear theory is necessary. Nonlinear Model Predictive Control (NMPC) is a promising alternative to linear control methods. However, this approach has a major drawback in its computational demands. This paper presents a novel approach to the implementation of PMSMs' NMPC. The proposed controller utilizes the native parallelism of population-based optimization methods and the supreme performance of field-programmable gate arrays to solve the nonlinear optimization problem in the time necessary for proper motor control. The paper presents the verification of the algorithm's behavior both in simulation and laboratory experiments. The proposed controller's behavior is compared to the standard control technique of FOC and linear MPC. The achieved results prove the superior quality of control performed by NMPC in comparison with FOC and LMPC. The controller was able to follow the Maximal Torque Per Ampere strategy without any supplementary algorithm, altogether with constraint handling.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

<a href="/en/project/9A22002" target="_blank" >9A22002: Artificial Intelligence using Quantum measured Information for realtime distributed systems at the edge</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Access

ISSN

2169-3536

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

Neuvedeno

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

128187-128200

UT code for WoS article

001316123700001

EID of the result in the Scopus database

2-s2.0-85204103013