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Constrained Dynamic Matrix Control under International Electrotechnical Commission Standard 61499 and the Open Platform Communications Unified Architecture.
Bustos-Pulluquitin, Sergio; Caiza, Gustavo; Llumitasig-Galarza, Mayra; Castro-Mayorga, Maritza; Sánchez-Benítez, Clara; Garcia, Marcelo V.
Afiliação
  • Bustos-Pulluquitin S; Faculty of Natural Resources, Escuela Superior Politécnica de Chimborazo, Morona Santiago Campus, Macas 140101, Ecuador.
  • Caiza G; Carrera de Electrónica y Automatización, Universidad Politecnica Salesiana, Quito 170146, Ecuador.
  • Llumitasig-Galarza M; Department of Exact Sciences, Universidad de las Fuerzas Armadas, Latacunga Campus, Latacunga 050105, Ecuador.
  • Castro-Mayorga M; Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, Ambato 180206, Ecuador.
  • Sánchez-Benítez C; Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, Ambato 180206, Ecuador.
  • Garcia MV; Faculty of Systems, Electronics and Industrial Engineering, Universidad Tecnica de Ambato, Ambato 180206, Ecuador.
Sensors (Basel) ; 23(15)2023 Aug 03.
Article em En | MEDLINE | ID: mdl-37571701
ABSTRACT
This paper focuses on the implementation of a constrained Dynamic Matrix Control (DMC) approach within the level processes of the FESTO™ MPS-PA Compact Workstation plant in the context of the Industrial Internet of Things (IIoT) paradigm. The goal is to develop an industrial control application with decentralized logic that optimizes the operation of the plant while adhering to specific constraints. The implementation is carried out using the IEC-61499 standard and the OPC-UA protocol, enabling seamless communication between devices and systems. The authors utilize the 4diac-IDE and 4diac-FORTE as the development and runtime environments, respectively, to enable the execution of the control application on low-cost devices. The Beagle Bone Black (BBB) card is used for data acquisition and actuator control. Three types of constraints are considered control increment (Δu(k)), output (ym(k)), and control (u(k)) constraints, to prevent unnecessary stress on the actuator and avoid damage to the plant. The QP algorithm is employed to optimize the objective function and address these constraints effectively. By integrating advanced control strategies into industrial processes in the IIoT paradigm and implementing them on low-cost devices, this paper demonstrates the feasibility and effectiveness of improving system performance, resource utilization, and overall productivity while considering system limitations and constraints.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Equador

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Equador