Title: Processing station tracking control method of assembly robot based on narrow band internet of things

Authors: Linyan Pan

Addresses: Intelligent Manufacturing College, Anhui Wenda University of Information Engineering, Hefei, Anhui 230000, China

Abstract: This paper proposes a processing station tracking control method of assembly robot based on narrow band internet of things. Firstly, LTE carrier resource block is used to establish the physical layer of narrow band internet of things. Then, the data of the assembly robot's processing stations were collected by using the control chart of measurement values, and the continuous pose space was processed by using the discretisation method to obtain a set of discrete processing stations. The tracking control problem of machining station position was transformed into the problem of optimising the selection of machining position from the set, and the station position was tracked through the clustering of machining objects. Experimental results show that the tracking control accuracy of this method is up to 98.8%, and the tracking control time is only 9.3 ms, which has good tracking control effect of assembly robot processing station.

Keywords: narrow band internet of things; assembly robot; clustering algorithm; processing position; genetic algorithm; tracking control.

DOI: 10.1504/IJIMS.2023.135010

International Journal of Internet Manufacturing and Services, 2023 Vol.9 No.4, pp.449 - 459

Received: 15 Jul 2022
Accepted: 22 Aug 2022
Published online: 27 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article