Delay-independent dual-rate PID controller for a packet-based networked control system

[EN] In this paper, a novel delay-independent control structure for a networked control system (NCS) is proposed, where packet-based control strategies with predictor-based and dual-rate control techniques are integrated. The control solution is able to cope with some networked communication problem...

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Bibliographic Details
Authors: Alcaina-Acosta, José Joaquín; Cuenca, Ángel|||0000-0003-4466-2666; Salt Llobregat, Julián José|||0000-0002-9640-2658; Casanova Calvo, Vicente|||0000-0002-7040-4815; Pizá, Ricardo|||0000-0001-8261-0045
Format: Article
Publication date:2019
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/145559
Online Access:https://riunet.upv.es/handle/10251/145559
Access Level:Open access
Keyword:Networked control systems
Multi-rate control
Predictor-based control
Packet-based control
INGENIERIA DE SISTEMAS Y AUTOMATICA
Description
Summary:[EN] In this paper, a novel delay-independent control structure for a networked control system (NCS) is proposed, where packet-based control strategies with predictor-based and dual-rate control techniques are integrated. The control solution is able to cope with some networked communication problems such as time-varying delays, packet dropouts and packet disorder. In addition, the proposed approach enables to reduce network load, and usage of connected devices, while maintaining a satisfactory control performance. As a delay-independent control solution, no network-induced delay measurement is needed for controller implementation. In addition, the control scheme is applicable to open-loop unstable plants. Control system stability is ensured in terms of linear matrix inequalities (LMIs). Simulation results show the main benefits of the control approach, which are experimentally validated by means of a Cartesian-robot-based test-bed platform. (C) 2019 Elsevier Inc. All rights reserved.