A simplified discrete-time implementation of FCS-MPC applied to an IM drive

Date

2019-01-01

Author

ŞAHİN, İLKER
Keysan, Ozan

Metadata

Show full item record

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

Item Usage Stats

180
views

0
downloads

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 way of simple, fast and low cost experimentation on MPC. By using an off the shelf motor drive development platform and modifying the existing macros and libraries for motor control, the implementation time and difficulty can be reduced considerably. Extensive experimental data on the drive performance is also provided.

Subject Keywords

Model predictive control, Predictive torque control, DSP, Digital motor control

URI

https://hdl.handle.net/11511/39426

DOI

https://doi.org/10.23919/epe.2019.8915204

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Model predictive torque control of an induction motor enhanced with an inter-turn short circuit fault detection feature Şahin, İlker; Keysan, Ozan; Ertan, Hulusi Bülent; Department of Electrical and Electronics Engineering (2021-9-9) Model predictive control (MPC) is a popular research topic in modern power electronics and it has been applied to a large variety of power converters and electric drives. The reason behind this interest in MPC is the advantages that it offers: intuitive and flexible algorithm, fast dynamic response, ease of handling converter nonlinearities, and system constraints, to name a few. In this thesis, MPC is applied to the torque control of an induction motor (IM). Involving both the theoretical foundation, compu...
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...
An artificial neural network estimator design for the inferential model predictive control of an industrial multi-component distillation column Bahar, Almila; Özgen, Canan; Department of Chemical Engineering (2003) An inferential control methodology, that utilizes an artificial neural network (ANN) estimator for a model predictive controller, is developed for an industrial multi-component distillation column. In the column, propane and butane is separated from a mixture of propane, n-butane, i-butane, and i-pentane with a top product purity of 96% propane and a bottom product purity of 63% n- butane. Dual composition control of the column must be used in a multivariable model predictive controller for an efficient ope...
An Efficient Implementation of Online Model Predictive Control With Field Weakening Operation in Surface Mounted PMSM Arpacik, Okan; Ankaralı, Mustafa Mert (2021-01-01) 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 dem...
AN ADAPTIVE HYBRID ARQ SCHEME FOR SLOWLY TIME-VARYING COMMUNICATION CHANNELS MEMISOGLU, AT; BILGEN, S (1994-04-14) An adaptive hybrid ARQ scheme for slowly timevarying channels that aims to maximize the average throughput under a given reliability constraint is presented. Punctured convolutional codes and the Viterbi algorithm with the Yamemoto-Itoh retransmission protocol are employed for encoding and decoding, respectively. A procedure based on exponentially weighted moving averages is developed to detect channel state changes

Citation Formats

İ. ŞAHİN and O. Keysan, “A simplified discrete-time implementation of FCS-MPC applied to an IM drive,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39426.