Research on synchronization of cooperative trajectory of dual industrial robots based on fuzzy adaptive PID control strategy

Qiang Xiong, Jianqun Wang*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

Through the research on the synchronization of the cooperative trajectory of dual industrial robots, this paper analyses the characteristics of master-slave control and distributed control, and puts forward a fuzzy adaptive PID control method suitable for the cooperative scene of dual industrial robots, which can dynamically adjust the parameters of PID control online and adapt the dynamic system of industrial robots in real time. Taking two same 6-DOF ABB industrial robots as examples, common PID controller and fuzzy PID controller are compared and simulated under master-slave control mode and distributed control mode respectively. The simulation results verified that the fuzzy adaptive PID control method is effective, and the distributed control mode has more applicability and expansibility than the master-slave control mode.

Original languageEnglish
Article number012037
JournalJournal of Physics: Conference Series
Volume2365
Issue number1
DOIs
Publication statusPublished - 2022
Event2022 3rd International Conference on Internet of Things, Artificial Intelligence and Mechanical Automation, IoTAIMA 2022 - Shanghai, China
Duration: 22 Jul 202224 Jul 2022

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