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Predictive Controller Based on Paraconsistent Annotated Logic for Synchronous Generator Excitation Control

Author

Listed:
  • João Inácio Da Silva Filho

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Raphael Adamelk Bispo de Oliveira

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Marcos Carneiro Rodrigues

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Hyghor Miranda Côrtes

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Alexandre Rocco

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Mauricio Conceição Mario

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Dorotéa Vilanova Garcia

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil)

  • Jair Minoro Abe

    (Graduate Program in Production Engineering, Paulista University, José Maria Whitaker Avenue, 320, São Paulo 04057-000, SP, Brazil)

  • Claudio Rodrigo Torres

    (Post Graduation Program in Management and Technology in Productive Systems-Paula Souza State Center for Technological Education (CEETEPS), Bandeirantes Street, 169, São Paulo 01124-010, SP, Brazil)

  • Viviane B. Duarte Ricciotti

    (Academic Department of Electrical Engineering, Federal University of Rondônia, Porto Velho 76801-058, RO, Brazil)

  • Antonio Carlos Duarte Ricciotti

    (Academic Department of Electrical Engineering, Federal University of Rondônia, Porto Velho 76801-058, RO, Brazil)

  • Arnaldo de Carvalho

    (Federal Institute of Education, Science and Technology of São Paulo (IFSP), Cubatão 11533-160, SP, Brazil)

  • Germano Lambert-Torres

    (Laboratory of Applied Paraconsistent Logic, Santa Cecilia University–UNISANTA, Oswaldo Cruz Street 288, Santos 11045-907, SP, Brazil
    Gnarus Institute, Itajuba 37500-052, MG, Brazil)

Abstract

This study presents a new Model Predictive Controller (MPC), built with algorithms based on Paraconsistent Annotated Logic (PAL), with application examples in the excitation control of a synchronous generator. PAL is a non-classical evidential and propositional logic that is associated with a Hasse lattice, and which presents the property of accepting the contradiction in its foundations. In this research, the algorithm was constructed with a version of the PAL that works with two information signals in the degrees of evidence format and, therefore, is called Paraconsistent Annotated Logic with annotation of two values (PAL2v). For the validation of the algorithmic structure, the computational tool MATLAB ® Release 2012b, The MathWorks, Inc., Natick, MA, United States was used. Simulations were performed which compared the results obtained with PPC-PAL2v to those obtained in essays with the AVR (Automatic Voltage Regulator) controls in conjunction with the PSS (Power System Stabilizer) and the conventional MPC of fixed weights. The comparative results showed the PPC-PAL2v to display superior performance in the action of the excitation control of the synchronous generator, with a great efficiency in response to small signals.

Suggested Citation

  • João Inácio Da Silva Filho & Raphael Adamelk Bispo de Oliveira & Marcos Carneiro Rodrigues & Hyghor Miranda Côrtes & Alexandre Rocco & Mauricio Conceição Mario & Dorotéa Vilanova Garcia & Jair Minoro , 2023. "Predictive Controller Based on Paraconsistent Annotated Logic for Synchronous Generator Excitation Control," Energies, MDPI, vol. 16(4), pages 1-25, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1934-:d:1069512
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    References listed on IDEAS

    as
    1. Nan Jin & Chao Pan & Yanyan Li & Shiyang Hu & Jie Fang, 2020. "Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current," Energies, MDPI, vol. 13(20), pages 1-16, October.
    2. Michał Izdebski & Robert Małkowski & Piotr Miller, 2022. "New Performance Indices for Power System Stabilizers," Energies, MDPI, vol. 15(24), pages 1-23, December.
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