Improved Linear Active Disturbance Rejection Control Strategy Based on RBF Neural Network For Main Steam Temperature Of Thermal Power Boiler-Reference-Cited by-同舟云学术

Improved Linear Active Disturbance Rejection Control Strategy Based on RBF Neural Network For Main Steam Temperature Of Thermal Power Boiler

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
language:
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Author:

Feng Xugang¹,Zhang Yizhong¹,Wang Zhengbing¹,Meng Qingxi¹

Affiliation:

1. Anhui University of Technology,School of Electrical and Information Engineering,Maanshan,China,243002

Funder

Natural Science Foundation of Anhui Province

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033923.pdf?arnumber=10033923

Reference15 articles.

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2. Application of multi-model fractal switching predictive control in main steam temperature[J];hua;Electric Machines and Control,2014

3. Modeling and Simulation of Superheated Steam Temperature Based on Multi-objective Genetic Algorithm[J];zhenlong;Journal of System Simulation,2017

4. Main Steam Temperature Control of Boiler based on Fuzzy active-Disturbance Rejection Strategy[J];lei;Journal of Engineering for Thermal Energy and Power,2019

5. LADRC-based trajectory tracking for unmanned helicopter[J];chao;Acta Aeronautica et Astronautica Sinica,2014

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