Open AccessResearch on the RBF‐PID control method for the motor actuator used in a UHV GIS disconnector
Author(s) -
Kejian Shi,
Bin Li,
Feiming Wang,
Bin Zhang,
Wei Luo,
Jiale Deng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8728
Subject(s) - pid controller , control theory (sociology) , computer science , actuator , servomotor , disconnector , radial basis function , control engineering , engineering , artificial neural network , circuit breaker , artificial intelligence , control (management) , temperature control , electrical engineering
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.