چكيده به لاتين
Nowadays, turbofan engines are used in the most of modern aircrafts, due to their high efficiency and reliability and less fuel consumption than other jet engines. In order to fulfill several operational and structural limits such as spool speed and acceleration, turbine inlet temperature, compressor stall and etc., turbofan engines control system should provide acceptable performance and guarantee safe operation. The satisfactory performance of aeroengines is attained by using effective control algorithms and design of the controller compatible with operation of the engine.
In this thesis, design and implementation of model predictive control for a turbofan engine are performed. For this purpose, design of the model predictive control algorithm for fuel control of the turbofan engine including basic concepts, strategy of this controller, control requirements of the turbofan engine and model predictive control equations for the engine is firstly investigated. In order to evaluate the performance of the designed controller, simulation of the turbofan engine fuel control system is then accomplished and the results of this simulation are compared with the min-max fuel control algorithm as the traditional aeroengine control structure. Hardware implementation of the model predictive control algorithm for fuel control of the turbofan engine is performed. Finally, in order to validate the hardware implementation, hardware in the loop test is performed using the turbofan engine thermodynamic model.
