Research on the control system of robotic arm based on fuzzy neural network
Konferenz: ISCTT 2021 - 6th International Conference on Information Science, Computer Technology and Transportation
26.11.2021 - 28.11.2021 in Xishuangbanna, China
Tagungsband: ISCTT 2021
Seiten: 5Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Zhou, Rui (School of Mechanical Engineering and its Automation, Liaoning University of Science and Technology, Anshan, China)
Fu, Hefei (School of Computer and Communication Engineering, Northeastern University, Qinhuangdao, China)
The teaching robot arm integrates the knowledge of computer, mechanical design, control technology, sensor technology, etc. It has been a research hotspot for researchers to conduct algorithm research and control system design. In this paper, we propose a design of a six-degree-of-freedom robot arm for the shortcomings of the current teaching robot arm, adhering to the idea of open design. The robot arm pick can realize the bionic function through the sensor of the end actuator, involving the knowledge of teaching mechanical, control, sensor and computation, and the algorithm research, etc. The robot arm designed in this paper has the characteristics of high precision, good control performance and simple structure. For the robot arm motion has non-linear and other characteristics, this paper uses the fuzzy neural network algorithm, and describes the implementation details of the control algorithm, through Matlab for simulation, to get a better control results, so as to achieve the different control needs of users. This study has a very important guiding role for the subsequent development of this field.