An Multiple Scheduling Design of the LEO Satellite Tracking System Base on Fuzzy-Genetic-PID Control
| Autor: | Chia-Hung Lu, 呂佳鴻 |
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| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 This thesis combines fuzzy theory with genetic algorithm with PID controller to set up a low-orbit satellites (LEO) tracking model. The LEO tracking system is controlled by an user interface, the mechanism including elevation axis, azimuth axis, tilt axis and resolvers antenna actual pointing coordinates. The proposed satellite tracking method is based on SGP4 orbit forecasting model generated by the antenna pointing database and follows the point coordinates to command the rotation of the axes. Gears rotation gap will affect the strength of the received signal. The genetic algorithm is used to optimize PID controller parameters, k_p、k_i and k_d, then the reduction of gears rotation gap errors is completed by the Fuzzy controller. The proposed Fuzzy-Genetic-PID controller has three advantages, the system performance is obtained from design of the fitness function; less complex expertise and the best solution is searched automatically. The experimental results illustrate that the errors reduction in elevation axis and azimuth axis are 36% and 54% with position control mode and speed control mode respectively, and this show our proposed Fuzzy-GA-PID controller is better than position control mode and speed control mode. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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