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Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator

    • Missouri University of Science and Technology

    Research output: Contribution to journal › Article › peer-review

    Abstract

    This paper presents the design of a neurocontroller for a turbogenerator that augments/replaces the conventional automatic voltage regulator and the turbine governor. The neurocontroller uses a novel technique based on the adaptive critic designs with emphasis on heuristic dynamic programming (HDP) and dual heuristic programming (DHP). Results are presented to show that the DHP based neurocontroller is robust and performs better than the HDP based neurocontroller, as well as the conventional controller, especially when the system conditions and configuration changes.

    Keywords

    • Adaptive Critics
    • Backpropagation
    • Dual Heuristic Programming
    • Dynamic Programming
    • Heuristic Dynamic Programming
    • Heuristic Programming
    • Machine Control
    • Neural Nets
    • Neurocontroller
    • Neurocontrollers
    • Turbogenerator
    • Turbogenerators
    • Voltage Control

    Disciplines

    • Electrical and Computer Engineering

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