Abstract: A bridge crane anti-swing method based on first-order dynamic sliding mode variable structure includes steps of: constructing a two-dimensional bridge crane system model and a crane system control model, respectively; performing differentiation on two sliding mode surfaces containing swing angle dynamic change and rope length dynamic change to obtain a crane position dynamic sliding surface s1 and a rope length dynamic sliding mode surface s2, respectively; combining a displacement x, a length l and a swing angle ? in the two-dimensional bridge crane system model with the crane position dynamic sliding surface s1 and rope length dynamic sliding mod surface s2 in the crane system control model to obtain a relationship among a horizontal traction force f1, an along-rope traction force f2, the displacement x, the length l and the swing angle ?.

Abstract: An intelligent ball passing system is provided, including: a ball passing robot configured for carrying out a ball passing action according to human body postures, including: a video capture device configured for acquiring human body posture data, a movement mechanism configured for driving the ball passing robot to move according to a ball passing instruction, and a central processing module connected to the movement mechanism and the video capture device respectively; and a software system configured for controlling the ball passing robot to carry out the ball passing action, the central processing module recognizing and classifying the human body postures by using the software system that uses a BP neural network.

Abstract: A bridge crane anti-swing method based on first-order dynamic sliding mode variable structure includes steps of: constructing a two-dimensional bridge crane system model and a crane system control model, respectively; performing differentiation on two sliding mode surfaces containing swing angle dynamic change and rope length dynamic change to obtain a crane position dynamic sliding surface s1 and a rope length dynamic sliding mode surface s2, respectively; combining a displacement x, a length l and a swing angle ? in the two-dimensional bridge crane system model with the crane position dynamic sliding surface s1 and rope length dynamic sliding mod surface s2 in the crane system control model to obtain a relationship among a horizontal traction force f1, an along-rope traction force f2, the displacement x, the length l and the swing angle ?.

Abstract: An intelligent ball passing system is provided, including: a ball passing robot configured for carrying out a ball passing action according to human body postures, including: a video capture device (1) configured for acquiring human body posture data, a movement mechanism (2) configured for driving the ball passing robot to move according to a ball passing instruction, and a central processing module (3) connected to the movement mechanism (2) and the video capture device (1) respectively; and a software system configured for controlling the ball passing robot to carry out the ball passing action, the central processing module recognizing and classifying the human body postures by using the software system that uses a BP neural network.