Regulation Quality Investigation on Different Plant Model Usage While Neural Network Training for DC Motor Control-Reference-Cited by-同舟云学术

Regulation Quality Investigation on Different Plant Model Usage While Neural Network Training for DC Motor Control

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)
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Author:

Vorobiov Bohdan¹,Zaitsev Roman²,Minakova Kseniia²,Kirichenko Mykhailo²,Milevskyi Stanislav³,Pohasii Serhii³

Affiliation:

1. National Technical University «Kharkiv Polytechnic Institute»,Automated Electromechanical Systems department,Kharkiv,Ukraine

2. National Technical University «Kharkiv Polytechnic Institute»,Micro & Nanoelectronics department,Kharkiv,Ukraine

3. National Technical University «Kharkiv Polytechnic Institute»,Cybersecurity department,Kharkiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005607/10005603/10005699.pdf?arnumber=10005699

Reference19 articles.

1. MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks

2. Iterative learning NARMA-L2 control for turbofan engine with dynamic uncertainty in flight envelope

3. Comparitive performance analysis of various training algorithms for control of CSTR process using narma-L2 control

4. Speed control of DC motor using artificial neural network;alhanjouri;International Journal of Science and Research,2012

5. Hardware implementation neural network controller on FPGA for stability ball on the platform;kravets;International Conference on Computer Science Engineering and Education Applications,2019

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