Application of Genetic Algorithm in Design and Optimization of Proportional-Derivative Fuzzy Controller to Regulate Turbojet Engine Fuel Flow

This paper presents the design and optimization of proportional-derivative fuzzy controller intended for regulating the fuel flow of a turbojet engine using genetic algorithm. First، with the aim of Wiener modeling approach، a block structure model is proposed for simulating turbojet engine operation. This representation is an appropriate method for control system design. Subsequently، based on the nonlinear nature of the turbojet engines، an initial fuzzy controller is desined which its rules and parameters are tuned in accordance with empirical data and prior knowledge of the engine behavior. Finally، the rules and parameters of the initial controller is optimized with the aim of reducing fuel consumption and improving engine performance in transient mode. Simulation results reveal that the desined controller is capable of reducing fuel consumption as well as improving the engine time response and enhancing the engine performance characteristics like the steady state error، overshoot and rise time.