Use of Educational Tool for Modeling Temperature Control Systems as a Remote Teaching and Learning Strategy in Engineering
Abstract
This paper presents the use of a teaching tool that allows the model identification of a temperature control system by applying several methods such as Step Response Method, Least Squares Method, Moving Average Least Square Method and Weighted Least Square Method. The system is an application of remote laboratory access, a WebLab, with real equipment and systems that can be remotely controlled by the web. The WebLab allows the development of multidisciplinary experiments, having as a differential, the possibility of allowing technology-mediated teaching, aiming to get a better assimilation of the contents presented in the theory for effective learning © 2023, IAENG International Journal of Applied Mathematics.All Rights Reserved.
- Learning systems
- Least squares approximations
- Temperature control
- Educational tools
- Least-squares- methods
- Model temperatures
- Modeling control system
- Modelling controls
- Remote laboratories
- System identification.
- System-identification
- Temperature control systems
- Weblabs
- Control systems
- control systems
- Education
- remote laboratories
- system identification. modelling control systems
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160663680&partnerID=40&md5=4c239ac67162c79525a7d6c7b6edde39https://repositorio.maua.br/handle/MAUA/1431
Collections
Related items
Showing items related by title, author, creator and subject.
-
Disturbance-observer-based model predictive control of underwater vehicle manipulator systems (Trabalho apresentado em evento)
Oliveira, Éverton Lins de; Orsino, Renato Maia Matarazzo; Donha, Décio Crisol (Elsevier B.V., 2021)This paper presents a disturbance-observer-based Model Predictive Control (MPC) for Underwater-Vehicle Manipulators Systems (UVMSs). First, the nominal MPC is formulated considering the lumped uncertainties representation ... -
Identification of a quasi-LPV model for wing-flutter analysis using machine-learning techniques (Capítulo de Livro)
Romano, Rodrigo Alvite; Lima, Marcelo Mendes Lafetá; Santos, Paulo Lopes dos; Perdicoulis, Teresa Azevedo (Institution of Engineering and Technology, 2019)Aerospace structures are often submitted to air-load tests to check possible unstable structural modes that lead to failure. These tests induce structural oscillations stimulating the system with different wind velocities, ... -
Model Predictive Control Relevant Identification (Capítulo de Livro)
Romano, Rodrigo Alvite; Potts, Alain Segundo; Garcia, Claudio (2012)Model predictive control (MPC) is a multivariable feedback control technique used in a wide range of practical settings, such as industrial process control, stochastic control in economics, automotive and aerospace ...
