Research on the RBF‐PID control method for the motor actuator used in a UHV GIS disconnector. Issue 16 (15th January 2019)
- Record Type:
- Journal Article
- Title:
- Research on the RBF‐PID control method for the motor actuator used in a UHV GIS disconnector. Issue 16 (15th January 2019)
- Main Title:
- Research on the RBF‐PID control method for the motor actuator used in a UHV GIS disconnector
- Authors:
- Kejian, Shi
Bin, Li
Feiming, Wang
Bin, Zhang
Wei, Luo
Jiale, Deng - Abstract:
- Abstract : To improve the reliability and intelligent level of the AC transmission system, the radial basis function‐based proportional‐integral‐derivative (RBF‐PID) control method for the motor actuator used in the 550 kV gas‐insulated switchgear (GIS) disconnector is proposed. According to the dynamic mathematical model of the motor actuator, the main structure of the RBF neural network based on the gradient descent method for learning algorithm is constructed. An identification function is formed by taking values of the output error square, and then by gathering information on the real‐time tuning parameters of PID. Based on that, the simulation of the control system is constructed. The comparative analyses of the tracking control characteristics and the servo following error of the disconnector's contact speed between double‐loop PID and RBF‐PID are done through the computational and experiment methods, respectively. The results show that 550 kV GIS disconnector with the motor actuator by the RFB‐PID control method has better controllability, and the servo following error is controlled within 0.1 m/s.
- Is Part Of:
- Journal of engineering. Volume 2019:Issue 16(2019)
- Journal:
- Journal of engineering
- Issue:
- Volume 2019:Issue 16(2019)
- Issue Display:
- Volume 2019, Issue 16 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 16
- Issue Sort Value:
- 2019-2019-0016-0000
- Page Start:
- 2013
- Page End:
- 2017
- Publication Date:
- 2019-01-15
- Subjects:
- gas insulated switchgear -- learning (artificial intelligence) -- three‐term control -- neurocontrollers -- radial basis function networks
radial basis function‐based proportional‐integral‐derivative control method -- motor actuator -- 550 kV gas‐insulated switchgear -- dynamic mathematical model -- RBF neural network -- gradient descent method -- control system -- tracking control characteristics -- servo following error -- double‐loop PID -- computational experiment methods -- 550 kV GIS disconnector -- RFB‐PID control method -- controllability -- RBF‐PID control method -- UHV GIS disconnector -- reliability -- intelligent level -- AC transmission system -- voltage 550.0 kV -- velocity 0.1 m/s
Engineering -- Periodicals
Engineering
Electronic journals
Periodicals
620.005 - Journal URLs:
- http://digital-library.theiet.org/content/journals/joe ↗
https://ietresearch.onlinelibrary.wiley.com/journal/20513305 ↗
http://biburl.oclc.org/web/74111 ↗
http://ieeexplore.ieee.org/Xplore/home.jsp ↗ - DOI:
- 10.1049/joe.2018.8728 ↗
- Languages:
- English
- ISSNs:
- 2051-3305
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4978.368000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17109.xml