Vision, Challenges, and Future Trends of Model Predictive Control in Switched Reluctance Motor Drives
Switched Reluctance Motors (SRMs) have become a popular alternative to replace permanent magnet machines in…
etcenterunab
Researcher regarding the great contribution that electromobility can make to improve life
The researcher PhD. Freddy Fuentes-Bahamonde from “ETCenterUNAB” exposes in the newspaper “El Sur” regarding the…
Optimal Cost Function Parameter Design in Predictive Torque Control (PTC) Using Artificial Neural Networks (ANN)
The use of artificial neural networks (ANNs) for the selection of weighting factors in cost…
Latest Advances of Model Predictive Control in Electrical Drives. Part II: Basic Concepts and Advanced Strategies
The application This paper presents the application of Model Predictive Control (MPC) in high-performance drives. A wide variety of machines have been considered: induction machines, synchronous machines, linear motors, switched reluctance motors, and multiphase machines. The control of these machines has been done by introducing minor and easy-to-understand modifications to the basic predictive control concept, showing the high flexibility and simplicity of the strategy. The second part of the paper is dedicated to the performance comparison of MPC with classical control techniques such as field-oriented control and direct torque control. The comparison considers the dynamic behavior of the drive and steady-state performance metrics such as inverter losses, current distortion in the motor, and acoustic noise. The main conclusion is that MPC is very competitive concerning classic control methods by reducing the inverter losses and the current distortion with comparable acoustic noise.
Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies
This paper showed that Model Predictive Control is being used successfully in high-performance motor drive applications. With little effort, MPC has been applied in field-oriented control and direct control of flux and torque. Two different and interesting strategies have solved the classical problem of weighting factor calculation in the cost
Interview with our director of the Energy Transformation Center, Ph. D. José Rodríguez Pérez. The most cited Chilean researcher in the world.
¿Quién es el investigador chileno más citado del mundo? Desde que recibió en 2014 el…
A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control
Title: A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control…
Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach
A new method for maximum power point tracking (MPPT) of the photovoltaic (PV) system while…
FONDECYT INICIACION N° 11200121
Multilevel Inverter for Modular and Efficient Drivetrains (MIMED) Single phase circuit diagram for the proposed…
Model-Free Predictive Current Control of a Voltage Source Inverter
Conventional model predictive control (MPC) of power converter has been widely applied to power inverters…
Sliding Mode Based Control of Dual Boost Inverter for Grid Connection
Single-stage voltage step-up inverters, such as the Dual Boost Inverter (DBI), present a large variable…
MPPT Algorithm Based on Artificial Bee Colony for PV System
Energy structures from non-conventional energy source has become highly demanded nowadays. In this way, the…