Modified Discrete Neural Network PID Controller for Controlling the Helicopters Turboshaft Engines Free Turbine Speed-Reference-Cited by-同舟云学术

Modified Discrete Neural Network PID Controller for Controlling the Helicopters Turboshaft Engines Free Turbine Speed

Published:2023-09-27 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES)
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Author:

Vladov Serhii¹,Yakovliev Ruslan²,Hubachov Oleksandr¹,Rud Juliia³,Drozdova Svitlana⁴,Perekrest Andrii⁵

Affiliation:

1. National University of Internal Affairs,Kremenchuk Flight College of Kharkiv,Department of Aircraft Maintenance,Kremenchuk,Ukraine

2. National University of Internal Affairs,Kremenchuk Flight College of Kharkiv,Kremenchuk,Ukraine

3. National University of Internal Affairs,Organization and Gender Issues Kremenchuk Flight College of Kharkiv,Department of Scientific Work,Kremenchuk,Ukraine

4. Kremenchuk Flight College of Kharkiv National University of Internal Affairs,Department of Air Navigation,Kremenchuk,Ukraine

5. Kremenchuk Mykhailo Ostrohradskyi National University,Department of Computer Engineering and Electronics,Kremenchuk,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10402118/10402360/10402433.pdf?arnumber=10402433

Reference21 articles.

1. Synergistic PID and Output Feedback Control on Matrix Lie Groups

2. Reinforcement learning based adaptive PID controller design for control of linear/nonlinear unstable processes

3. Multi-objective optimized fuzzy-PID controllers for fourth order nonlinear systems

4. Adaptive neuro-fuzzy PID controller based on twin delayed deep deterministic policy gradient algorithm

5. Adaptive Neuro Fuzzy Inference System Based controller for Electric Vehicle's hybrid ABS braking

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1. Onboard Neuro-Fuzzy Adaptive Helicopter Turboshaft Engine Automatic Control System;Energies;2024-08-22

2. Helicopter Turboshaft Engines’ Gas Generator Rotor R.P.M. Neuro-Fuzzy On-Board Controller Development;Energies;2024-08-14