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Development of a novel model matching decentralized controller design algorithm and its experimental validation

Muthukumari S1, Kanagalakshmi S1, Sunil Kumar T K1

  • 1Department of Electrical Engineering, National Institute of Technology Calicut, NIT Campus P.O, Kozhikode, 673601, Kerala, India.

ISA Transactions
|March 29, 2024
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Summary

A novel three-stage decentralized controller design algorithm effectively manages MIMO systems with time delays and nonlinearities. This advanced control strategy enhances setpoint tracking and disturbance rejection in power systems.

Keywords:
Approximate generalized time moments (AGTMs)/approximate generalized Markov parameters (AGMPs) matchingDecentralized controllerLoad frequency controlNonlinearitiesTime-varying communication delay

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Area of Science:

  • Control Systems Engineering
  • Electrical Engineering
  • Power Systems Analysis

Background:

  • Complex MIMO systems often exhibit communication time delays and nonlinearities (saturation, dead band).
  • Effective control requires robust algorithms for setpoint tracking and disturbance rejection in these challenging environments.

Purpose of the Study:

  • To develop a three-stage decentralized controller design algorithm for MIMO systems.
  • To address challenges posed by communication time delays and nonlinearities.
  • To improve setpoint tracking and disturbance rejection capabilities.

Main Methods:

  • Reference model formulation as the first stage.
  • Equating generalized time moments/Markov parameters for synthesis-like equations in the second stage.
  • Extracting controller parameters via exact model matching in the third stage.

Main Results:

  • The algorithm successfully designed a load frequency controller for traditional and restructured power systems.
  • Demonstrated efficacy under system uncertainties, load variations, and time-varying delays.
  • Validated practical implementation feasibility using TMS320F28379D controlCARD.

Conclusions:

  • The proposed three-stage decentralized controller design is effective for MIMO systems with delays and nonlinearities.
  • The method offers superior performance compared to existing techniques.
  • The controller is practical for real-world applications, particularly in power systems.