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).论文：面向感应电机的节能型非线性最优控制策略 作者：哈维尔·贝加拉（Javier Vergara）、英格博格·马拉（Ingeborg Mahla） 发表日期：2026年3月 所属机构：智利圣地亚哥大学（Universidad de Santiago de Chile，USACH） 本代码仓库包含为验证面向感应电机的FBL-LQI（带线性二次积分的反馈线性化）控制策略而开发的MATLAB/Simulink R2024b仿真环境。本项目的核心目标是提供一个开放可执行的框架，以复现相关研究论文中提及的节能效果与动态响应结果。 为保障技术基准的严谨性，本数据集包含所提出的FBL-LQI控制器，以及用于对比的完整直接磁场定向控制（DFOC）与标量控制（V/f）实现方案。用于计算均方根误差与生成效率图谱的后处理脚本已直接集成于FBL_LQI.m脚本中。 本研究旨在提供可复现的工具，用于开展变负载工况下以节能为目标的非线性最优控制研究，从而为感应电机控制器的优化工作提供支撑。 如需了解更多信息，请参阅官方论文：J. Vergara, I. Mahla. 面向感应电机的节能型非线性最优控制策略 通讯联系人（电子邮箱）：[e-mail]（I. Mahla）