| The research presented in this thesis details identification of the parameters of an axial flow compressor’s characteristic. The parameters are dependent on the compressor’s geometry and are important factors for designing a controller of such a system. In order to identify compressor specific parameters, a genetic algorithm is used for solving the optimization problem. The optimized parameters are used to design a controller for keeping the operating point of the compressor away from stall inception. A fuzzy logic controller is designed and the mass flow rate is controlled in order to operate the compressor at the desired point.
Keyword: Axial flow compressor, Stall, Genetic Algorithm, Optimization, Control, Fuzzy logic, Compressor parameters. |