To resolve the problems of ink drop tailing, satellite drop, and ink ribbon of piezoelectric ink-jet printing, a fluid dynamic modeling method and an adaptive ink-supply method are proposed. First, based on the volume of fluid method, a fluid dynamic model for the jetting and forming of ink drop is set up. According to this model, the numerical analysis for the states of forming, fracture, and flight of ink drops is performed; referring to different boundary conditions of piezoelectric ink-jet process, the inherent relations between ink characteristics and ink drop motion are analyzed, and an optimal viscosity range for piezoelectric nozzle is confirmed. Then, a fuzzy proportional-integral-derivative-based ink-supply control method is developed to achieve the fast and smooth responses for ink temperature and to obtain the required ink characteristics and ink-supply effects. Finally, a microcontroller-based piezoelectric ink-jetting experiment platform is established, and the experiment results show that the fluid dynamic modeling method can simulate the flow field profiles of piezoelectric ink-jet; the fuzzy proportional-integral-derivative-based ink-supply system can improve the printing quality; the print stripes are decreased obviously, and the softer and cleaner images can be obtained.
In view of the piezoelectric ink-jet ink viscosity in the process of the quality of ink-jet droplet trailing, satellite drops and the problem of ink ribbon, a kind of piezoelectric ink jet process dynamics modeling and ink methods is put forward. Based on the fluid volume model (VOF) is established the dynamic model for drops sprayed physical process. Based on this model, the generated drops, fracture, and is used to numerically simulate the process of flight, through the different boundary conditions are set, analyzed the influence factors of droplet spray on ink features, get the best viscosity range nozzle job. By controlling the temperature adjustment ink characteristics and control method of liquid level control for the ink pressure, a kind of independent for ink system based on microcomputer control is designed. Using the fuzzy PID algorithm to achieve the fast and smooth response of the temperature control of ink and the good characteristics of ink and ink control effect are got. Piezoelectric ink jet experiment platform, set up the complete in the process of droplet spray droplets forming process as well as the typical features of the effectiveness of the method is verified.Key words piezoelectric ink-jet drops fluid volume model numerical simulation fuzzy PID 0 [1][2] 3 *
This paper proposes a moving-target tracking algorithm that measures the pose of a micro-robot with high precision and high speed using the Kalman filter-based kernelized correlation filter (K2CF) algorithm. The adaptive Kalman filter can predict the state of linearly and nonlinearly fast-moving targets. The kernelized correlation filter algorithm then accurately detects the positions of the moving targets and uses the detection results to modify the moving states of the targets. This paper verifies the performance of the algorithm on a monocular vision measurement platform and using a pose measurement method. The K2CF algorithm was embedded in the micro-robot’s attitude measurement system, and the tracking performances of three different trackers were compared under different motion conditions. Our tracker improved the positioning accuracy and maintained real-time operation. In a comparison study of K2CF and many other algorithms on Object Tracking Benchmark-50 and Object Tracking Benchmark-100 video sequences, the K2CF algorithm achieved the highest accuracy. In the 400 mm × 300 mm field of view, when the target radius is about 3 mm and the inter-frame acceleration displacement does not exceed 5.6 mm, the root-mean-square error of position and attitude angle can satisfy the precision requirements of the system.
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