Title: Automatic anti-interference control of intelligent mechanical communication terminal based on neural network

Authors: Xiao-Xing Shi; Yan-Qin Zhang; Li-Ye Liu

Addresses: Department of Electrical and Electronic Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, China ' Department of Electrical and Electronic Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, China ' Department of Electrical and Electronic Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, China

Abstract: In order to overcome the disturbance of mechanical intelligent communication terminal caused by mechanical continuous movement, which affects the communication effect and quality, an active disturbance rejection control method for mechanical intelligent communication terminal based on neural network is proposed. This method analyses the working principle of Cmnn and combines it with active disturbance rejection control technology. Aiming at the initial disturbance, the active disturbance rejection control technology is the dominant control, and the Cmnn enters the learning state and optimises the weights according to the period; the active disturbance rejection control technology participates in the disturbance control, eliminates the interference, and ensures that the mechanical intelligent communication terminal is in a stable state. The experimental results show that the steady-state control time is about 0.06 s, and the tracking error is controlled in the range of [+5 μrad, −5 μrad], which has higher tracking accuracy and robustness.

Keywords: cerebellar model; neural network; active disturbance rejection control; ADRC; intelligent mechanical communication terminal; response speed.

DOI: 10.1504/IJICT.2022.119321

International Journal of Information and Communication Technology, 2022 Vol.20 No.1, pp.97 - 113

Received: 08 May 2020
Accepted: 16 Jul 2020
Published online: 01 Dec 2021 *

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