Open AccessDynamic Analysis of sprint burst based on coupled Fuzzy Control
Author(s) -
Tao Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/6/062013
Subject(s) - sprint , simulation , fuzzy logic , computer science , control theory (sociology) , engineering , artificial intelligence , control (management) , software engineering
The dynamic analysis of sprint burst based on coupled fuzzy control is studied. through theoretical analysis and computer vision simulation, the detailed data are obtained and applied to sprint training. Computer simulation technology is used under the computer vision simulation platform, the dynamic model of sprint burst movement is analyzed, and the dynamic mathematical model of sprint explosive force joint is constructed. The limb mechanical characteristic parameters under sprint burst action are obtained. Based on the coupling control method, the characteristic analysis and information parameter estimation of sprint burst dynamics are carried out. The sprint starting model and sprint model are constructed respectively. The mathematical modeling and lower extremity mechanical analysis of two sprint burst motion modes are carried out. The torque of bone and joint is calculated, and the theoretical calculation value and simulation value are obtained. Finally, the visual simulation of sprint burst mechanics is carried out with ADAMS software, and the simulation values and theoretical values of the characteristic parameters of sprint burst dynamics are obtained, and the comparative analysis is realized. Through the simulation results, the optimal power model control under sprint burst mode can be realized. The research results will provide effective theoretical guidance for sprint training, optimize the training methods and improve the training effect.