Control Requirements for Future Gas Turbine-Powered Unmanned Drones: JetQuads

Jafari, Soheil; Fashandi, Seyed Alireza Miran; Nikolaidis, Theoklis

doi:10.3390/app8122675

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…The connections are called power bonds and have associated effort variables (such as voltage and torque) and flow variables (current and angular velocity). This approach is used successfully by the authors in the field of gas turbine engines modeling and simulation and the effectiveness is confirmed against theoretical and experimental data [40][41][42].…”

Section: Bond Graph Modeling Of Components During Cold Startmentioning

confidence: 97%

Modeling and Control of the Starter Motor and Start-Up Phase for Gas Turbines

2019

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Improving the performance of industrial gas turbines has always been at the focus of attention of researchers and manufacturers. Nowadays, the operating environment of gas turbines has been transformed significantly respect to the very fast growth of renewable electricity generation where gas turbines should provide a safe, reliable, fast, and flexible transient operation to support their renewable partners. So, having a reliable tools to predict the transient behavior of the gas turbine is becoming more and more important. Regarding the response time and flexibility, improving the turbine performance during the start-up phase is an important issue that should be taken into account by the turbine manufacturers. To analyze the turbine performance during the start-up phase and to implement novel ideas so as to improve its performance, modeling, and simulation of an industrial gas turbine during cold start-up phase is investigated this article using an integrated modular approach. During this phase, a complex mechatronic system comprised of an asynchronous AC motor (electric starter), static frequency converter drive, and gas turbine exists. The start-up phase happens in this manner: first, the clutch transfers the torque generated by the electric starter to the gas turbine so that the turbine reaches a specific speed (cranking stage). Next, the turbine spends some time at this speed (purging stage), after which the turbine speed decreases, sparking stage begins, and the turbine enters the warm start-up phase. It is, however, possible that the start-up process fails at an intermediate stage. Such unsuccessful start-ups can be caused by turbine vibrations, the increase in the gradients of exhaust gases, or issues with fuel spray nozzles. If, for any reason, the turbine cannot reach the self-sustained speed and the speed falls below a certain threshold, the clutch engages once again with the turbine shaft and the start-up process is repeated. Consequently, when modeling the start-up phase, we face discontinuities in performance and a system with variable structure owing to the existence of clutch. Modeling the start-up phase, which happens to exist in many different fields including electric and mechanical application, brings about problems in numerical solutions (such as algebraic loop). Accordingly, this study attempts to benefit from the bond graph approach (as a powerful physical modeling approach) to model such a mechatronic system. The results confirm the effectiveness of the proposed approach in detailed performance prediction of the gas turbine in start-up phase.

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Section: Bond Graph Modeling Of Components During Cold Startmentioning

confidence: 97%

Modeling and Control of the Starter Motor and Start-Up Phase for Gas Turbines

2019

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“…Performance models of gas turbines developed using the bond graph approach 89–93 are used in the design and optimization of control systems. For instance, Jafari et al 92,93 studied electric start systems of gas turbines and jetquads with the aid of the bond graph method.…”

Section: A Historical Review Of Gas Turbine Engine Controlmentioning

confidence: 99%

“…37 Publications based on engine model or controller distribution: There are many investigations related to the distribution of aero-engine models and their controllers or any other electronic devices. Performance models of gas turbines developed using the bond graph approach [89][90][91][92][93] are used in the design and optimization of control systems. For instance, Jafari et al 92,93 studied electric start systems of gas turbines and jetquads with the aid of the bond graph method.…”

mentioning

confidence: 99%

“…Performance models of gas turbines developed using the bond graph approach [89][90][91][92][93] are used in the design and optimization of control systems. For instance, Jafari et al 92,93 studied electric start systems of gas turbines and jetquads with the aid of the bond graph method. Also, regarding hybrid propulsion systems as a combination of electric systems and gas turbines, one can benefit from bond graph models of gas turbines.…”

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confidence: 99%

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A scientometric analysis and critical review of gas turbine aero-engines control: From Whittle engine to more-electric propulsion

Mohammadi

Fashandi

Jafari

et al. 2020

Measurement and Control

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The gas turbine aero-engine control systems over the past eight decades have been thoroughly investigated. This review purposes are to present a comprehensive reference for aero-engine control design and development based on a systematic scientometric analysis and to categorize different methods, algorithms, and approaches taken into account to improve the performance and operability of aircraft engines from the first days to present to enable this challenging technology to be adopted by aero-engine manufacturers. Initially, the benefits of the control systems are restated in terms of improved engine efficiency, reduced carbon dioxide emissions, and improved fuel economy. This is followed by a historical coverage of the proposed concepts dating back to 1936. A comprehensive scientometric analysis is then presented to introduce the main milestones in aero-engines control. Possible control strategies and concepts are classified into four distinct phases, including Single input- single output control algorithms, MIN-MAX or Cascade control algorithms, advanced control algorithms, More-electric and electronic control algorithms and critically reviewed. The advantages and disadvantages of milestones are discussed to cover all practical aspects of the review to enable the researchers to identify the current challenges in aircraft engine control systems.

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