An Efficient Implementation of Online Model Predictive Control With Field Weakening Operation in Surface Mounted PMSM

Download

index.pdf

Date

2021-01-01

Author

Arpacik, Okan
Ankaralı, Mustafa Mert

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

247
views

96
downloads

Model-predictive-controller (MPC), one of the optimal control policies, has gained more attention in servo drive and other industrial applications in recent years due to evident control performance benefits compared to more classical control methods. However, an MPC algorithm solves a constrained optimization problem at each step that brings a substantial computational burden over classical control policies. This study focuses on improving the computational efficiency of an online MPC algorithm and then demonstrates its practical feasibility on the field weakening operation in high-speed PMSM control applications where the sampling frequency is in the order of mu s. We implement the existing dual active set solver by replacing two standard methods in the matrix update step to reduce the overall computational cost of the algorithm. We also rearrange the linear approximation for the constraints on voltage and current by taking the tradeoff between accuracy and speed into account. We finally verify the efficiency and effectiveness of the proposed structure via processor-in-the-loop simulations and physical platform experiments.

Subject Keywords

Field weakening, online model predictive control (MPC), quadratic programming (QP), synchronous machine

URI

https://hdl.handle.net/11511/95205

Journal

IEEE ACCESS

DOI

https://doi.org/10.1109/access.2021.3136614

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

An Efficient Implementation of Online Model Predictive Control with Practical Industrial Applications Arpacık, Okan; Ankaralı, Mustafa Mert; Department of Electrical and Electronics Engineering (2021-8) The demand to utilize modern control algorithms for industrial applications is much more intensive. Model-predictive-controller (MPC), which is one of the modern optimal control policies, has gained more attention in servo drive and other industrial applications in recent years due to increased computational capabilities of embedded platforms and evident control performance benefits compared to more classical control methods. A digital MPC algorithm at each sampling instant produces the optimal control inpu...
A simplified discrete-time implementation of FCS-MPC applied to an IM drive ŞAHİN, İLKER; Keysan, Ozan (2019-01-01) Model predictive control (MPC) has drawn significant attention from the power electronics research community in the last decade. Regarding the application of MPC in motor control, several studies have been conducted that include design and implementation of various predictive torque control techniques. In this study, MPC of an induction motor is implemented via TMDXIDDK379D, a motor drive development platform produced by Texas Instruments (TI). The main motivation is to show the engineers and researchers a ...
Simulation of Dynamic Operation in Salient Pole Synchronous Machines Dordea, Toma; Munteanu, Radu; Campeanu, Aurel (2011-09-10) The design of today's high performance synchronous motors must take into account not only the steady state but also practically inevitable dynamic regimes. In such conditions an accurate predetermination of the parameters and constructive solution by modeling and simulation of the given dynamic operation, becomes a mandatory step. In this aim, in the present paper a novel mathematical model of the high power salient pole synchronous machine (SPSM) is elaborated. We proposed to consider especially the effect...
An Integration method over a moving window for exponential convergence in adaptive control without persistency of excitation Yayla, Metehan; Kutay, Ali Türker; Department of Aerospace Engineering (2016) Adaptive control has great capabilities in control of uncertain systems to maintain a consistent and desired performance. Another control methodology concerning the uncertain systems is the robust control. It is well-known that the robust control has advantages of dealing with external disturbances, unmodeled dynamics, and quickly varying uncertain parameters. Nonetheless, robustness against these environmental, and parametric uncertainties degrades the tracking performance. Besides, adaptive control can to...
A New Model Predictive Torque Control Strategy with Reduced Set of Prediction Vectors Şahin, İlker; Keysan, Ozan (2018-04-12) Major drawback of finite control set model predictive control (FCS-MPC) is its high computational burden. This paper proposes a new optimal vector selection strategy that reduces the computational cost of FCS-MPC technique. Considering two-level voltage source inverters (2L-VSI) utilized as motor drives, proposed strategy reduces the number of active prediction vectors from six to three. Hence, cost function is evaluated only for four vectors (three active and one zero). Moreover, between the two possible z...

Citation Formats

O. Arpacik and M. M. Ankaralı, “An Efficient Implementation of Online Model Predictive Control With Field Weakening Operation in Surface Mounted PMSM,” IEEE ACCESS, vol. 9, pp. 167605–167614, 2021, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/95205.