姿态调整平台电液伺服系统控制算法研究
[Abstract]:Environmental testing plays an important role in the field of aeronautical and aerospace engineering. With the development of industrial aerodynamics, its application field has been extended to transportation, building, wind energy utilization and other industries. However, as an important part of environmental testing, the performance of the control system determines the performance of the platform, such as the stability of the platform, the capability of load and the precision of the model motion, and so on. This topic comes from a project of environmental transformation. Firstly, the related technology of electro-hydraulic servo valve control hydraulic motor system of model attitude adjustment platform is studied. After analyzing the principle of platform machinery and hydraulic system in detail, considering the factors that affect the control precision of the system, the transfer function of each link of the system is established, and the overall mathematical model of the system is determined by combining the actual parameters of the system. Perform basic stability and system response analysis. Because electro-hydraulic servo system is a typical unknown and uncertain nonlinear system [16], in order to speed up the system response speed and improve the control accuracy, the feasibility and adaptability of the algorithm are considered in various control algorithms. Two control algorithms, classical PID control and fuzzy PID control, are proposed, and the controller design and Matlab simulation analysis are carried out. After system modeling and simulation analysis of two intelligent control algorithms, PID and fuzzy PID, combined with the functional requirements of the model attitude adjustment platform, this paper analyzes and compares the current feasible control methods, determines the appropriate control scheme, and designs the hardware. Software programming, man-machine interface and other aspects are introduced. Finally, through the performance test of the whole machine, it is proved that the control algorithm can meet the platform control requirements, and the feasibility and maneuverability of the control scheme and control method are verified at the same time. The expected attitude adjustment target of the model in the environment is realized. The experimental results show that the platform has realized many kinds of attitude adjustment of the model in the environment, the movement is stable and the control effect is good, which provides a good hardware platform for the improvement of the environment and the experiment of the model environment.
【学位授予单位】:西南交通大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TP273;TH137
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