With Vectored Thrust Turbofan Engine Real-time Mathematical Model And Intelligent Control Study

Real-time mathematical model of the aero-engine is the basis for the engine half physical simulation test platform. In this paper, a novel method of establishing the real-time model is proposed through deeply analyzing to the thermal calculation process of the aero-engine components. In this method, the relation of the thermal parameters of the parts of the engine is presented by analytical formula. So, the complex and time-consuming iterative calculation process is avoided, which makes the calculating process not only reaches the real-time requirements but also becomes clearer and more comprehensible. In addition, this method has good quality of high precision and broad applicability. The model established by this method can be used to calculate the steady and dynamic characteristic of the turbo-fan engine and can also be used to study the MIMO control of the aero-engine. Compared with the calculating results of the non-real time model of the engine, the real-time model has good convergence and satisfying calculation precision within the full flight envelope. According to the results of the CFD a real-time thrust-vectoring nozzle turbofan engine model is established. The model can simulate the working process of the engine in different deflected angle and can be applied to the control of the vectoring nozzle. The intelligent control theory has penetrated into many fields. And to study the application of the intelligent control to the aero-engine control system is very important for the improvement of the performance of the propulsion system. In this paper, three different intelligent control methods, fuzzy logic control, neuro-fuzzy network and genetic algorithm (GA) were used to study the accelerating process control of the turbofan engine. Firstly, a P-D type C-F controller is designed. Secondly, the GA is applied to optimize the three important parameters of the fuzzy Logic controller. Finall~. a neuro-fuzzy controller is studied. Simulation results show that the control systems behave very well, which indicates that the intelligent control ?III ? has wide prospect in the aspect of control of the aero-engine.