Intelligent integrated system of football teaching and training

Abstract

Football is a popular sport all over the world, and it is also an important part to show the comprehensive strength of the country. With the development of football in China, how to effectively carry out football teaching and training has become a hot topic. At present, the international mainstream method is to use robot soccer simulation training to simulate the real game scene, analyze and study the game tactics. However, due to the late start of artificial intelligence in China, there are still technical problems in the field of robot soccer, such as insufficient recognition and unreasonable task allocation. In order to solve these problems, this paper proposes an intelligent soccer teaching and training system based on fuzzy theory. In this paper, the control mode of the intelligent system is further optimized by combining the classical algorithm of fuzzy mathematics with PID control. In the design of football training model, this paper puts forward an innovative game situation assessment system, which can better analyze the impact of environmental factors. In the aspect of control circuit, this paper adopts the mainstream LM2678 step-down circuit, which has good stability and has been widely used in intelligent control system. In the final experimental analysis, this paper uses the current representative basic decision-making system as the comparative object, through a number of experiments including technical indicators, system characteristics, etc. Analysis of the data shows that the intelligent system based on fuzzy theory has better task allocation ability than the traditional way, and obviously improves the comprehensive performance of the system. In the simulation competition, the system in this paper has made outstanding achievements, which further shows the superiority of the system.