基于OPENMV的板球系统轨迹预测研究

Mengdie Yin, Shaoming Pan, Haidong Tan
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摘要

目前,板球系统作为研究控制领域各种控制算法的实验平台,引起了众多学者的关注。本文设计了一种基于OPENMV的低成本板球运动控制系统。在系统设计中,OPENMV获取球的位置信息,然后对球的运动进行曲线拟合,使用最小二乘法预测球的下一个位置,并使用卡尔曼滤波对球的预测点进行优化,提高预测精度。最后,利用PID算法控制系统对预测坐标进行跟踪。该系统结合了下一时刻球的位置预测,消除了摄像机获取球位置信息的滞后问题,使系统更具抗干扰性,为控制算法的精确研究奠定了基础。实验结果表明,该系统能够很好地预测球的运动轨迹,达到了预期的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Trajectory Prediction of Cricket System Based on OPENMV
Currently, the cricket system has attracted the attention of many scholars as an experimental platform for studying various control algorithms in the field of control. This paper designs a low-cost based on OPENMV cricket motion control system. In system design, OPENMV obtains ball position information, then the curve fitting of the ball motion is performed to use the least squares method for predicting the next position of the ball, and use Kalman filtering to optimize the ball prediction point, to improve prognostic accuracy. Finally, the PID algorithm is used to control the system to track this predicted coordinate. The system incorporates the prediction of the position of the ball at the next moment, eliminating the problem of lagging of the camera to obtain information about the position of the ball, making the system more resistant to interference and laying the foundation for the precise study of the control algorithm. The experimental results show that this system can predict the trajectory of the ball very well and achieve the expected results.
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