Gas turbine aero-engines real time on-board modelling: A review, research challenges, and exploring the future. (1st February 2020)

• Record Type: Journal Article
• Authors: Wei, Zhiyuan; Zhang, Shuguang; Jafari, Soheil; Nikolaidis, Theoklis
• Is Part Of: Progress in aerospace sciences. Volume 121(2021)
• Publication Date: 2020-02-01
• Subjects: On-board modelling -- Gas turbine aero-engines -- Control -- Health management -- Degradation -- Multiple model based on-board modelling -- Runtime assurance -- Research challenges; Aeronautics -- Periodicals; Astronautics -- Periodicals; Aéronautique -- Périodiques; Astronautique -- Périodiques; 629.1
• DOI: 10.1016/j.paerosci.2020.100693
• Languages: English
• ISSNs: 0376-0421

Abstract

Abstract: 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.