Intelligent Fuzzy Controller for Satellite Ground Station Applications

摘要

The Department of Computer Science at Clark Atlanta University investigated theuse of genetic algorithms as a technique for automating the development of fuzzy logic controllers. In the first phase of this research, a genetic algorithm was used to tune the fuzzy controller. The genetic algorithm searches through the space of all membership functions to select the functions that produce the best control action. In the second phase of this project, the genetic algorithm was used to automatically derive the rule-base and membership functions. A full-featured research prototype was developed. The methodology and prototype were validated on typical control and classification problems. This research establishes a methodology for the rapid development of robust knowledge-based control systems in complex, poorly understood domains.