Modeling and Control Parameter optimization of Fuel Pressurization System of Micro Gas Turbine

In this paper, a modeling method is provided to model the fuel pressurization system of micro gas turbine, and the controller parameters are optimized to improve the performance. Firstly, component-level model is established according to the working principle of components, and then the integral model is established in AMEsim software. Furthermore, an intelligent optimization algorithm, called particle swarm optimization algorithm, is proposed to solve the problem of controller parameters optimization. Finally, simulation results show that the proposed method is effective and improves the performance.