The parameter identification method of steam turbine nonlinear servo system based on artificial neural network-Reference-Cited by-同舟云学术

The parameter identification method of steam turbine nonlinear servo system based on artificial neural network

Published:2018-03 Issue:3 Volume:40 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Liao Jin-Long,Yin Feng,Luo Zhi-Hao,Chen Bo,Sheng De-Ren,Yu Zi-Tao

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

http://link.springer.com/article/10.1007/s40430-018-1086-8/fulltext.html

Reference18 articles.

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2. Wang ZQ, Zhu SZ, Lou HX, Sheng SD, Zhang LY (2003) PLPF based modeling and parameter identifying of large steam turbine in time domain. Proc CSEE 23:128–133 (in chinese)

3. Zhu Y, Jiang WL, Kong XD, Zheng Z (2015) Study on nonlinear dynamics characteristics of electrohydraulic servo system. Nonlinear Dyn 80:723–737

4. Guan C, Pan S (2008) Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters. Control Eng Prac 16:1275–1284

5. Li W, Zheng ZJ, Sheng DR, Cheng JH, Ren HR (2008) Recursive least square method based parameter identification of steam turbine digital electric-hydraulic governing system. J Zhejiang Univ (Eng Sci) 42:1761–1764

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