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Publicações

Publicações por Josenalde Barbosa Oliveira

2018

A Sliding Mode-Based Predictive Strategy for Irrigation Canal Pools

Autores
Oliveira, J; Pinho, TM; Coelho, J; Boaventura-Cunha, J; Moura Oliveira, P;

Publicação

Abstract
This paper evaluates a robust Model Predictive Controller (MPC) based on Sliding Modes (SMPC) for the downstream level control in irrigation canal pools. Its features are compared with the conventional Generalized Predictive Controller (GPC), regarding set point tracking (water level) and output disturbances (offtake discharges). Simulation results suggest feasibility of applying SMPC for gate manipulation, with suitable command signals and robustness.

2018

Posicast Based Experiments to Motivate Undergraduates to Control Engineering

Autores
Vidal, S; Oliveira, PM; Oliveira, J; Pinho, T; Cunha, JB;

Publicação
2018 13TH APCA INTERNATIONAL CONFERENCE ON CONTROL AND SOFT COMPUTING (CONTROLO)

Abstract
Motivating undergraduate engineering students for the area of control engineering can be a challenging task. Posicast control can be used as a simple technique to introduce both open-loop and closed-loop control systems. This paper addresses several approaches to teach Posicast control involving simulation and practical implementations. A demonstration experiment using the robotic arm (UR5) is reported here as an alternative practical system which can be used to demonstrate Posicast Control. Results obtained from student's perceptions of the reported experiment are presented.

2018

An overview on visual sensing for automatic control on smart farming and forest management

Autores
Pinho, TM; Coelho, JP; Oliveira, J; Boaventura Cunha, J;

Publicação
2018 13TH APCA INTERNATIONAL CONFERENCE ON CONTROL AND SOFT COMPUTING (CONTROLO)

Abstract
This work presents the state-of-the-art of visual sensing systems for monitoring and control purposes in both agriculture and forest areas. Regarding agricultural activities, four main topics are explored: robotics and autonomous vehicles, plant protection, feature extraction and yield prediction. Although vast literature can be found on image processing and computer vision applied to agriculture, its applications in forest-based systems are less frequent. Throughout this article, several research areas such as diseases control, post-processing, parameters estimation, UAVs and satellites will be addressed.

2018

Instrumentation and Control of an Industrial Sewing Station

Autores
Coelho, JP; Santos, P; Pinho, TM; Boaventura Cunha, J; Oliveira, J;

Publicação
2018 13TH APCA INTERNATIONAL CONFERENCE ON CONTROL AND SOFT COMPUTING (CONTROLO)

Abstract
The constant search for methods that allow the production processes improvement is a driving force for the development and integration of current technological solutions in systems which are, currently, still purely human based. It is in this context that the company "Factoryplay" comes forward with the challenge to upgrade its current sewing stations by adding a set of mechanization and automation solutions. This article documents the steps carried out to provide the current solution with the required technical attributes. In this paper, the instrumentation and actuation devised solutions, as well as the method employed to design an embedded PI controller, will be presented. The PI controller allows the closed-loop control of the station movement speed as a function of the sewing machine speed. The practical results obtained, regarding the dynamic response of the sewing station, are in line with the simulated ones.

2010

Variable Structure Adaptive Backstepping Controller for plants with arbitrary relative degree based on modular design

Autores
Queiroz, K; Araujo, A; Fernandes, M; Dias, S; Oliveira, J;

Publicação
Proceedings of the 2010 American Control Conference

Abstract

2008

A Modified Design for the VS-MRAC Based on the Indirect Approach: Stability Analysis

Autores
Oliveira, JB; Araujo, AD;

Publicação
IFAC Proceedings Volumes

Abstract

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