AGV定位导引与控制软件系统的研究与设计
[Abstract]:AGV is a typical wheeled mobile robot, which integrates mechanical, photoelectric, computer, control, instrument and other disciplines. It has the advantages of high automation, safety and reliability, flexible application and so on. It is precisely because of these advantages of AGV that it is more and more widely used in automation workshop and modern logistics system. Using AGV to build automated logistics system can greatly improve the production efficiency. The study of AGV has profound theoretical and practical significance. Positioning guidance accuracy and motion control performance are the core evaluation indexes of AGV performance. In order to improve the positioning accuracy and motion control performance of AGV, this paper investigates a large number of domestic and international AGV documents, and takes the two-wheel differential drive AGV as the research object, and studies its kinematics. The main research contents are summarized as follows: 1. The overall requirements of AGV, the workflow and the design process of the driving system are introduced. By calibrating the three coordinate systems of AGV motion, the position and pose representation and transformation relation of AGV in each coordinate system are deduced, and the kinematics modeling and analysis of AGV are completed. According to the overall scheme, the hardware scheme of AGV positioning and guidance system is introduced, and then the guidance algorithm is designed, and the relative positioning algorithm and absolute positioning algorithm are designed respectively. Finally, the two parts of localization data are fused by adaptive weighting algorithm. 2. A comprehensive study of AGV motion control is carried out. The motion control law is designed by Lyapunov theory and pose error equation, and simulated by MATLAB, then the evaluation model of static, dynamic and comprehensive characteristics of AGV motion control is established. Finally, the influence of control law parameters on motion control is analyzed, and a sliding mode genetic algorithm is proposed, and then the evaluation function is used as the fitness function of sliding mode genetic algorithm to optimize the control law parameters. The kinematic performance of AGV before and after optimization is compared to verify the importance of parameter optimization. 3. The upper and lower computer software of AGV control system are designed respectively. On the one hand, by analyzing the development environment of the lower computer, and based on the development language of TwinCAT PLC, the main program of AGV and the man-machine interface of the lower computer are designed, on the other hand, the function modules of the upper computer software are divided. Using Visual Studio software as host computer software development platform, XAML as interface language and C # as backstage design language, the upper computer software platform of WPF is designed. Finally, the communication scheme between the upper computer and the lower computer is designed. By debugging the control software, the communication and data transmission between the upper computer and the lower computer are realized, and the functions of each function module are tested. Thus, the software design and implementation of the control system are completed.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP242
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