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Neural-adaptive controller for an isolated power converter.

Rohit Kumar1

  • 1Department of Electrical Engineering, NIT Uttarakhand, Uttarakhand, India.

ISA Transactions
|December 1, 2024
PubMed
Summary

This study introduces a neural-adaptive controller for isolated power converters, enhancing resilience against unknown parameters. The controller ensures stable voltage output by adapting to system changes, validated through real-time simulation.

Keywords:
Lyapunov function stabilityNeural-adaptive controllerNeuronsPower converterRobust controllerUnstructured parameters

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Artificial Intelligence

Background:

  • Isolated power converters often face challenges with unknown system parameters.
  • Existing models may not account for unstructured parameters, impacting performance.
  • Intelligent control techniques are crucial for enhancing converter robustness.

Purpose of the Study:

  • To design a neural-adaptive controller for isolated power converters.
  • To address and compensate for both structured and unstructured unknown parameters.
  • To improve the resilience and flexibility of power converter output.

Main Methods:

  • Development of a neural-adaptive controller architecture.
  • Integration of neurons/activation functions to handle unstructured properties.
  • Application of Lyapunov stability analysis to derive adaptation laws.
  • Real-time simulation using the OPAL-RT platform for validation.

Main Results:

  • The proposed controller demonstrates adaptability to structured and unstructured factors.
  • Increased number of neurons enhances converter output resilience and flexibility.
  • Adaptive gain augmentation ensures achievement of target output voltage.
  • Stability is confirmed via Lyapunov function, with adaptation laws modifying neural weights.

Conclusions:

  • The neural-adaptive controller effectively manages unknown parameters in isolated power converters.
  • The controller provides a robust and adaptable solution for stable voltage regulation.
  • Real-time simulation validates the controller's performance and stability.