Abstract:How to use an old turbo-compressor (turboshaft) engine and transfer it into a laboratory system used for design and development of progressive control, diagnostic and modeling algorithms transforming it into an intelligent turbo-compressor engine? The intelligent turbo-compressor engine currently designated as iSTC-21v is a small turbojet engine with a single sided radial compressor, bound combustion chamber, single stage un-cooled turbine and variable exhaust nozzle. The engine is equipped with a realtime mea… Show more
“…The "sigma for smc" function shown in Figure 4, was expanded and the regarding observability matrix indicated in (21) has been calculated throughout the entire simulation. Equation 21already takes into account the dimension of the plant, which equals to 3, and similarly to (20), shows the transposed form of the matrix.…”
Section: Discussion Of Conducted Investigationsmentioning
confidence: 99%
“…In several cases turbojets form the basis of a different development version like turboprop, as found in [19]. Variable nozzles are already being under investigation for turbofan engines as mentioned in [20], which system can also be assessed on turbojet engines ( [21] or [22]).…”
The interest in turbojet engines was emerging in the past years due to their simplicity. The purpose of this article is to investigate sliding mode control (SMC) for a micro turbojet engine based on an unconventional compound thermodynamic parameter called Turbofan Power Ratio (TPR) and prove its advantage over traditional linear methods and thrust parameters. Based on previous research by the authors, TPR can be applied to single stream turbojet engines as it varies proportionally to thrust, thus it is suitable as control law. The turbojet is modeled by a linear, parameter-varying structure, and variable structure sliding mode control has been selected to control the system, as it offers excellent disturbance rejection and provides robustness against discrepancies between mathematical model and real plant as well. Both model and control system have been created in MATLAB® Simulink®, data from real measurement have been taken to evaluate control system performance. The same assessment is conducted with conventional Proportional-Integral-Derivative (PID) controllers and showed the superiority of SMC, furthermore TPR computation using turbine discharge temperature was proven. Based on the results of the simulation, a controller layout is proposed and its feasibility is investigated. The utilization of TPR results in more accurate thrust output, meanwhile it allows better insight into the thermodynamic process of the engine, hence it carries an additional diagnostic possibility.
“…The "sigma for smc" function shown in Figure 4, was expanded and the regarding observability matrix indicated in (21) has been calculated throughout the entire simulation. Equation 21already takes into account the dimension of the plant, which equals to 3, and similarly to (20), shows the transposed form of the matrix.…”
Section: Discussion Of Conducted Investigationsmentioning
confidence: 99%
“…In several cases turbojets form the basis of a different development version like turboprop, as found in [19]. Variable nozzles are already being under investigation for turbofan engines as mentioned in [20], which system can also be assessed on turbojet engines ( [21] or [22]).…”
The interest in turbojet engines was emerging in the past years due to their simplicity. The purpose of this article is to investigate sliding mode control (SMC) for a micro turbojet engine based on an unconventional compound thermodynamic parameter called Turbofan Power Ratio (TPR) and prove its advantage over traditional linear methods and thrust parameters. Based on previous research by the authors, TPR can be applied to single stream turbojet engines as it varies proportionally to thrust, thus it is suitable as control law. The turbojet is modeled by a linear, parameter-varying structure, and variable structure sliding mode control has been selected to control the system, as it offers excellent disturbance rejection and provides robustness against discrepancies between mathematical model and real plant as well. Both model and control system have been created in MATLAB® Simulink®, data from real measurement have been taken to evaluate control system performance. The same assessment is conducted with conventional Proportional-Integral-Derivative (PID) controllers and showed the superiority of SMC, furthermore TPR computation using turbine discharge temperature was proven. Based on the results of the simulation, a controller layout is proposed and its feasibility is investigated. The utilization of TPR results in more accurate thrust output, meanwhile it allows better insight into the thermodynamic process of the engine, hence it carries an additional diagnostic possibility.
“…In our case, the real object is represented by the small turbojet engine iSTC-21v (see Fig. 1), which undergoes tests in the Laboratory of Intelligent Control Systems of Aircraft Engines [14]. The advantage of using this engine lays mainly in the relatively lower technical complexity compared to normal sized jet engines.…”
(polynomial models, neural networks). Part of the system is also an expert system, which is able to distinguish between engine failure and sensor error. The proposed system for jet engines was tested in laboratory conditions on a small turbojet engine iSTC-21v with positive results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.