@inproceedings{94cd6839cb6e47d09bddfad1edfc893f,
title = "Three-motor synchronous control system based on a compound active disturbance rejection controller with RBF",
abstract = "According to problems of complex algorithm, multi-parameter and labor-intensive and time-consuming adjustment in the active disturbance rejection controller(ADRC), on the basis of optimizing the structure of ADRC, this paper designs a compound ADRC based on radical basis function neural network(RBFNN). The controller obtains the online adjustment information of ADRC parameters by using RBFNN to track the controlled object online. The method is applied to a three-motor synchronous control system based on S7-300 PLC to build an experimental platform, and PLC programming language is adopted for algorithm implementation in order to perform the decoupling experiment of the speed and tension. The results show that the method can achieve the self-adjusting function of partial parameters and can decrease the overshoot. It can also improve the dynamic performance and steady state accuracy of the system. The experimental results show that the method has practical application.",
keywords = "active disturbance rejection controller, neural network, parameters, radical basis function, self-adjusting, synchronous control",
author = "Wangfang Ding and Xingqiao Liu",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8027962",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3870--3875",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}