TY - JOUR
T1 - Gas turbine aero-engines real time on-board modelling
T2 - A review, research challenges, and exploring the future
AU - Wei, Zhiyuan
AU - Zhang, Shuguang
AU - Jafari, Soheil
AU - Nikolaidis, Theoklis
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/2/1
Y1 - 2020/2/1
N2 - On-board real time modelling for gas turbine aero-engines has been extensively used for engine performance improvement and reliability. This has been achieved by the utilization of on-board model for the engine's control and health management. This paper offers a historical review of on-board modelling applied on gas turbine engines and it also establishes its limitations, and consequently the challenges, which should be addressed to apply the on-board real time model to new and the next generation gas turbine aero-engines. For both applications, i.e. engine control and health management, claims and limitations are analysed via numerical simulation and publicly available data. Regarding the former, the methods for modelling clean and degraded engines are comprehensively covered. For the latter, the techniques for the component performance tracking and sensor/actuator diagnosis are critically reviewed. As an outcome of this systematic examination, two remaining research challenges have been identified: firstly, the requirement of a high-fidelity on-board modelling over the engine life cycle, especially for safety-critical control parameters during rapid transients; secondly, the dependability and reliability of on-board model, which is critical for the engine protection in case of on-board model failure. Multiple model-based on-board modelling and runtime assurance are proposed as potential solutions for the identified challenges and their potential and effectiveness are discussed in detail.
AB - On-board real time modelling for gas turbine aero-engines has been extensively used for engine performance improvement and reliability. This has been achieved by the utilization of on-board model for the engine's control and health management. This paper offers a historical review of on-board modelling applied on gas turbine engines and it also establishes its limitations, and consequently the challenges, which should be addressed to apply the on-board real time model to new and the next generation gas turbine aero-engines. For both applications, i.e. engine control and health management, claims and limitations are analysed via numerical simulation and publicly available data. Regarding the former, the methods for modelling clean and degraded engines are comprehensively covered. For the latter, the techniques for the component performance tracking and sensor/actuator diagnosis are critically reviewed. As an outcome of this systematic examination, two remaining research challenges have been identified: firstly, the requirement of a high-fidelity on-board modelling over the engine life cycle, especially for safety-critical control parameters during rapid transients; secondly, the dependability and reliability of on-board model, which is critical for the engine protection in case of on-board model failure. Multiple model-based on-board modelling and runtime assurance are proposed as potential solutions for the identified challenges and their potential and effectiveness are discussed in detail.
KW - Control
KW - Degradation
KW - Gas turbine aero-engines
KW - Health management
KW - Multiple model based on-board modelling
KW - On-board modelling
KW - Research challenges
KW - Runtime assurance
UR - https://www.scopus.com/pages/publications/85098538075
U2 - 10.1016/j.paerosci.2020.100693
DO - 10.1016/j.paerosci.2020.100693
M3 - 文章
AN - SCOPUS:85098538075
SN - 0376-0421
VL - 121
JO - Progress in Aerospace Sciences
JF - Progress in Aerospace Sciences
M1 - 100693
ER -