| Summary: | 碩士 === 中原大學 === 資訊工程學系 === 87 === This thesis is aimed at analysis and research in the Antenna Control System. First, analysis the input signal of the Antenna Control System. Then using fuzzy logic deal with the signal. The aim is using fuzzy logic to describe the behavior of the Antenna System. Once system get the input, it can response quickly to get the output to control the Antenna. By using artificial intelligence adjust membership function and rules. The goal of this paper is using Genetic Algorithm to adjust the membership and rules of the fuzzy logic.
The method used in this paper for purpose of designing the Antenna Control System is the technique of fuzzy logic. Using the difference of AZ error, EL error and signal intensity to calculate the velocity and acceleration for controlling the position of AZ and EL axis. And using MATLAB to program a simulating fuzzy logic system and write the code of genetic algorithm to adjust the membership function and rules.
When applying genetic algorithm on fuzzy logic, the individual of genetic algorithm is combined with membership and rules, and using this individual to accomplish the evolution. In selecting the combination of parameter of population, crossover rate and mutation rate it is using the “try and error” method which have the best performance. In the result, the fuzzy logic system can be adjust by using of the training data, the final system can be used to proper control the Antenna System.
Key words: Antenna Control System, Fuzzy logic, Artificial intelligence, Genetic Algorithm
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