Transient performance simulation of aircraft engine integrated with fuel and control systems

Abstract

A new method for the simulation of gas turbine fuel systems based on an intercomponent volume method has been developed. It is able to simulate the performance of each of the hydraulic components of a fuel system using physics-based models, which potentially offers more accurate results compared with those using transfer functions. A transient performance simulation system has been set up for gas turbine engines based on an inter-component volume (ICV) method. A proportional-integral (PI) control strategy is used for the simulation of engine controller. An integrated engine and its control and hydraulic fuel systems has been set up to investigate their coupling effect during engine transient processes. The developed simulation system has been applied to a model aero engine. The results show that the delay of the engine transient response due to the inclusion of the fuel system model is noticeable although relatively small. The developed method is generic and can be applied to any other gas turbines and their control and fuel systems.

Computational Simulation of PT6A Gas Turbine Engine Operating with Different Blends of Biodiesel—A Transient-Response Analysis

“…As reported in previous works such as Ref. [18], some other non-flow-path components affect the ability to maintain the operation conditions and accounting for them can be significant to obtain accurate simulations. This is the case of the combustion model, the fuel system or the external loads related to the propeller.…”

Performance assessment of classical and fractional controllers for transient operation of gas turbine engines

“…However, if a more detailed simulation approach for the fuel flow system dynamics is sought, then the reader is prompted to Wang et al (2017). Based on the observations of the engine model behaviour at transient conditions we have developed a PI controller and tuned accordingly its coefficients K p and K i in order to obtain smooth operation of the engine model.…”

“…One of the prerequisites for the design of a controller is to represent the behaviour of the fuel flow actuator system and the speed measurement sensor. For the above purpose the fuel flow actuator system and the speed sensor are both represented by first order transfer functions that are typical for these systems, see Camporeale et al (2006); Wang et al (2017).…”

An Iterative Reduced KPCA Hidden Markov Model for Gas Turbine Performance Fault Diagnosis

“…The health parameters are unmeasurable and represent engine gas-path health, containing indicators of fan efficiency SE1, fan flow SW1, compressor efficiency SE2, compressor flow SW2, HPT efficiency SE3, HPT flow SW3, LPT efficiency SE4, and LPT flow SW4. The available measurements are used to calculate health parameters, and they are low-pressure spool speed NL, high-pressure spool speed The data are generated from the numerical engine model [33,34] to evaluate the involved methods in the steady behavior of the maximum power operation and transient behavior including acceleration and deceleration. The involved engine parameters are reported in Table 3.…”

“…The engine station numbers in Figure 3 are as follows: inlet exit marked by 2, compressor inlet by 22, compressor exit by 3, HPT entrance by 43, LPT entrance by 5, and LPT exit by 6. The data are generated from the numerical engine model [33,34] to evaluate the involved methods in the steady behavior of the maximum power operation and transient behavior including acceleration and deceleration. The involved engine parameters are reported in Table 3.…”