摘要
为了提升网球运动员的训练效率,研究提出了一种自动捡球机器人来降低其捡球负担。在捡球机器人中,首先引入机器视觉技术来进行网球检测识别,其次引入PID控制算法和模糊理论来搭建捡球机器人的智能化控制系统。在算法测试中显示,研究所采用的机器视觉技术的损失率仅为0.01%,此外在捡球机器人的仿真和应用测试中显示,研究所设计的机器人能够完成网球场捡球工作,并且续航时间最长为16.7 h。以上结果表明,利用机器视觉技术、PID以及模糊理论来进行捡球机器人控制系统设计具有可行性和有效性,对网球运动及机器人控制技术的未来发展具有重要意义。
In order to improve the training efficiency of tennis players,an automatic ball picking robot is proposed to reduce the burden of ball picking.In the ball picking robot,machine vision technology is first introduced to detect and identify tennis balls,and then PID control algorithm and fuzzy theory are introduced to build the intelligent control system of the ball picking robot.The algorithm test shows that the loss rate of the machine vision technology adopted by the research is only 0.01%.In addition,the simulation and application test of the ball picking robot show that the robot designed by the research can complete the ball picking work on the tennis court,and the maximum endurance time is 16.7 hours.The above results show that using machine vision technology,PID and fuzzy theory to design the ball picking robot control system is feasible and effective,which is of great significance to the future development of tennis and robot control technology.
作者
陈欢
CHEN Huan(An Kang University,An Kang Shanxi 725000,China)
出处
《自动化与仪器仪表》
2023年第11期202-205,211,共5页
Automation & Instrumentation
基金
安康市体育培训指导项目(2022AYHX067)。
