Accurate camera image capture control based on iterative learning and Kalman filter

作者：Zhou Wenju; Fei Minrui; Wang Haikuan^*; Wang Gang; Zheng Min; Liu Kailong

来源：Chinese Journal of Scientific Instrument, 2014, 35(5): 1044-1051.

• Accurate positioning
• Camera controls
• Convergence properties
• High speed moving targets
• Iterative learning
• Iterative learning control
• Kalman filtering techniques
• Real-time identification

The moving targets in industrial high speed production line suffer from various disturbances; achieving accurate camera image capture control is a challenging task. Taking the camera control for accurate capturing target image in the printing alignment system of a chromatic printing machine as an example, this paper proposes a camera control method based on iterative learning and Kalman filter for accurate capturing the image of high speed moving target. The main purpose is to achieve real-time identification of the target in the images accurately. The iterative learning control (ILC) and Kalman filtering techniques are deployed to reduce the effect of various disturbances introduced into the camera control system. A mathematical control model for the proposed method was established, and the convergence property of the model was theoretically analyzed. The model was verified with simulation and the simulation result was analyzed. An experiment platform was designed; and experiment results verify the correctness of the theoretical deduction and the effectiveness of the simulation results. The numerical simulation and experiment results prove that the proposed method can achieve accurate real-time control of the camera, effectively reduce the effect of disturbances, and accurately control the camera to obtain the images of high speed moving target.

• 出版日期2014
• 单位上海大学