Robust Control of Small Turbojet Engines

Modern turbojet engines mainly use computerized digital engine control systems. This opens the way for application of advanced algorithms aimed at increasing their operational efficiency and safety. The theory of robust control is a set of methods known for good results in complex control tasks, making them ideal candidates for application in the current turbojet engine control units. Different methodologies in the design of robust controllers, utilizing a small turbojet engine with variable exhaust nozzle designated as iSTC-21v, were therefore investigated in the article. The resulting controllers were evaluated for efficiency in laboratory conditions. The aim was to find a suitable approach and design method for robust controllers, taking into account the limitations and specifics of a real turbojet engine and its hardware, contrary to most studies which have used only simulated environments. The article shows the most effective approach in the design of robust controllers and the resulting speed controllers for a class of small turbojet engines, which can be applied in a discrete digital control environment.

[1]  Link C Jaw,et al.  Aircraft Engine Controls: Design, System Analysis, and Health Monitoring , 2009 .

[2]  Ilya V. Kolmanovsky,et al.  Robust control and limit protection in aircraft gas turbine engines , 2012, 2012 IEEE International Conference on Control Applications.

[3]  Da-W Gu,et al.  Robust Control Design with MATLAB® (Advanced Textbooks in Control and Signal Processing) , 2005 .

[4]  Karoly Beneda,et al.  Effect of Operating Point Selection on Non-linear Experimental Identification of iSTC–21v and TKT–1 Small Turbojet Engines , 2017 .

[5]  Feng Feng,et al.  H∞ Optimal Control of Aero engine Distributed Control System with Packet Dropout Compensator , 2011 .

[6]  Jonathan S. Litt,et al.  Intelligent, Robust Control of Deteriorated Turbofan Engines Via Linear Parameter Varying Quadratic Lyapunov Function Design , 2013 .

[7]  Joon-Young Kim,et al.  Robust control synthesis for dynamic vessel positioning , 2017 .

[8]  U. Mackenroth.  Robust Control Systems: Theory and Case Studies , 2010 .

[9]  K. Glover,et al.  Robust stabilization of normalized coprime factor plant descriptions with H/sub infinity /-bounded uncertainty , 1989 .

[10]  M. Karami,et al.  Robust Control of a Gas Turbine with Wiener Model Uncertainty , 2012 .

[11]  József K. Tar,et al.  Improved Stabilization for Robust Fixed Point Transformations-Based Controllers , 2013, J. Adv. Comput. Intell. Intell. Informatics.

[12]  David J. N. Limebeer,et al.  Linear Robust Control , 1994 .

[13]  Ladislav Nyulaszi,et al.  Experimental identification of the small turbojet engine MPM-20 , 2014, 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI).

[14]  R. Andoga,et al.  Experimental identification of a small turbojet engine with variable exhaust nozzle , 2015, 2015 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI).

[15]  Hamidreza Reza Alikhani,et al.  Aero Engine Multivariable Robust Control , 2016 .

[16]  Igor Skrjanc,et al.  Design of fuzzy robust control strategies for a distributed solar collector field , 2017, Appl. Soft Comput..

[17]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[18]  Ye-Hwa Chen,et al.  A New Robust Tracking Control Design for Turbofan Engines: H∞/Leitmann Approach , 2017 .

[19]  R. Andoga,et al.  Advanced approaches in modeling of complex electro-mechanical systems , 2011, 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI).

[20]  Rama K. Yedavalli,et al.  A Riccati Equation based Robust Control Design with Application to a Gas Turbine Engine Leading Toward Distributed Control , 2014 .

[21]  Mohammad Hossein Ramezani,et al.  Robust control of speed and temperature in a power plant gas turbine. , 2012, ISA transactions.

[22]  R. Andoga,et al.  Description of an intelligent small turbo-compressor engine with variable exhaust nozzle , 2015, 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

[23]  Ricardo C. L. F. Oliveira,et al.  A new approach to handle additive and multiplicative uncertainties in the measurement for LPV filtering , 2016, Int. J. Syst. Sci..

[24]  Radu-Emil Precup,et al.  Grey Wolf Optimizer Algorithm-Based Tuning of Fuzzy Control Systems With Reduced Parametric Sensitivity , 2017, IEEE Transactions on Industrial Electronics.

[25]  Róbert Bréda,et al.  Intelligent Situational Control of Small Turbojet Engines , 2018, International Journal of Aerospace Engineering.

[26]  Xin Wang,et al.  H2−H∞ control of discrete-time nonlinear systems using the state-dependent Riccati equation approach , 2017 .

[27]  Andrés Marcos.  Revisiting the aircraft C∗ control law: A comparison between classical and structured H-infinity designs , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

[28]  Daksh Shukla,et al.  Nonlinear control based on H-infinity theory for autonomous aerial vehicle , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).