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Neural Network Tuning of FSMPC for Drives

Juana M. Martínez-Heredia, José L. Mora

TL;DR

A neural network tuner for the finite state model predictive control of an induction motor deals with the parameters of the controllers in the speed loop and in the stator current loop.

Abstract

This preprint presents a neural network tuner for the finite state model predictive control of an induction motor. The tuner deals with the parameters of the controllers in the speed loop and in the stator current loop. The results are assessed using a five phase machine in an experimental setup. Data for the neural network training is obtained from the experiments using step tests.

Neural Network Tuning of FSMPC for Drives

TL;DR

A neural network tuner for the finite state model predictive control of an induction motor deals with the parameters of the controllers in the speed loop and in the stator current loop.

Abstract

This preprint presents a neural network tuner for the finite state model predictive control of an induction motor. The tuner deals with the parameters of the controllers in the speed loop and in the stator current loop. The results are assessed using a five phase machine in an experimental setup. Data for the neural network training is obtained from the experiments using step tests.
Paper Structure (7 sections, 10 equations, 3 figures, 1 table)

This paper contains 7 sections, 10 equations, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. Control scheme
  3. Performance indicators
  4. Laboratory setup
  5. NN tuning
  6. Data gathering and training
  7. Conclusion

Figures (3)

  • Figure 1: Diagram of the induction motor control.
  • Figure 2: Elements of the experimental setup.
  • Figure 3: Example of a test for data gathering.