Code for: Energy-efficient nonlinear optimal control strategy for induction motors.

Article: Energy-efficient nonlinear optimal control strategy for induction motors.
Authors: Javier Vergara, Ingeborg Mahla.
Date: March 2026.
Institution: Universidad de Santiago de Chile (USACH).

This repository contains the MATLAB/Simulink R2024b simulation environment developed to validate the FBL-LQI (feedback linearization with linear quadratic integral) control strategy for induction motors. The primary objective is to provide an open, executable framework to reproduce the energy efficiency and dynamic response results discussed in the associated research paper.

To ensure a rigorous technical benchmark, the dataset includes the proposed FBL-LQI controller alongside full implementations of direct field oriented control (DFOC) and scalar control (V/f) used for comparison. The post-processing scripts for calculating RMS errors and generating efficiency maps are integrated directly within the FBL_LQI.m script.

This work aims to contribute to the optimization of induction motor controllers by providing verifiable tools for the study of nonlinear and optimal control focused on energy savings under variable load conditions.

For more information, see the official article:
J. Vergara, I. Mahla. Energy-efficient nonlinear optimal control strategy for induction motors.

Corresponding contact person (E-mail addresses): [e-mail] (I. Mahla).