The problem of control is investigated for turbofan systems with uncertain parameters and multiple disturbances in this paper. Some disturbances with partly known information are described via an external system, and other disturbances are assumed to be norm bounded. According to the disturbance-observer-based-control (DOBC) method and resilient control technique, a robust resilient controller is designed to reject and attenuate the influence of these disturbances, and guarantees that closed-loop systems are asymptotically stable with performance. Some solvable sufficient conditions are obtained based on the linear matrix inequality (LMI) technique and Lyapunov stability theory. Finally, a simulation is presented to show the robustness and effectiveness of the developed resilient anti-disturbance control method.
BalasGJ (2002) Linear, parameter-varying control and its application to a turbofan engine, International Journal of Robust and Nonlinear Control12(9): 763–796.
2.
ChenMChenW (2010) Disturbance-observer-based robust control for time delay uncertain systems. International Journal of Control, Automation and Systems8(2): 445–453.
3.
ChenMChenSWuQ (2017) Sliding mode disturbance observer-based adaptive control for uncertain MIMO nonlinear systems with dead-zone. International Journal of Adaptive Control and Signal Processing31(7): 1003–1018.
4.
ChenMLiY (2019) Model reference resilient control for the helicopter with time-varying disturbance. International Journal of Robust and Nonlinear Control29(15): 5095–5117.
5.
ChenW (2004) Disturbance observer based control for nonlinear systems. IEEE/ASME Transactions on Mechatronics9(4): 706–710.
6.
DuanZGhousIAkhtarJ, et al. (2018) Robust filter design for uncertain 2-D continuous nonlinear delayed systems with saturation. IEEE Access6: 73647–73658.
7.
EdwardsCSpurgeonS (1998) Sliding Mode Control Theory and Applications (1st Edn). London: CRC Press.
8.
GhousIXiangZ (2015) stabilization of 2-D discrete switched delayed systems represented by the Roesser model subject to actuator saturation. Transactions of the Institute of Measurement and Control37(10): 1242–1253.
9.
GuoLChenW (2005) Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach, International Journal of Robust and Nonlinear Control15(3): 109–125.
10.
HanzR (2012) Advanced Control of Turbofan Engins. London: Springer.
11.
JawLCMattinglyJD (2009) Aircraft Engine Controls: Design, System Analysis, and Health Monitoring. Reston, VA: American Institute of Aeronautics and Astronautics.
12.
JiangB (2018) Research on component level modeling and startup control of turbofan engine. Master Thesis, Nanjing University of Aeronautics and Astronautics.
13.
JiaoY (2016) Research on civil high bypass-ratio turbofan engine modeling and control. Master Thesis, Nanjing University of Aeronautics and Astronautics.
14.
KchaouMHajjajiAEToumiA (2015) Non-fragile output feedback control design for continuous-time fuzzy systems. ISA Transactions54: 3–14.
15.
KulikovGGThompsonHA (2004) Dynamic Modelling of Gas Turbines: Identification, Simulation, Condition Monitoring and Optimal Control. London: Springer Science & Business Media.
16.
LiYChenMLiTWangH (2020) Robust resilient control based on multiapproximator for the uncertain turbofan system with unmeasured states and disturbances. IEEE Transactions on Systems Man Cybernetics-Systems. DOI: 10.1109/TSMC.2019.2958861.
17.
LiYSunHZongGHouL (2017) Composite anti-disturbance resilient control for Markovian jump nonlinear systems with partly unknown transition probabilities and multiple disturbances, International Journal of Robust and Nonlinear Control27(14): 2323–2337.
18.
LiYSunHZongGHouL (2017) Anti-disturbance control for time-varying delay Markovian jump nonlinear systems with multiple disturbances. International Journal of Systems Science48(15): 3186–3200.
19.
MahmoudMS (2004) Resilient Control of Uncertain Dynamical Systems. New York: Springer.
20.
PanMZhangKChenYHuangJ (2017) A new robust tracking control design for turbofan engines: Leitmann approach. Applied Sciences7(439): 1–21.
21.
SakthivelRAhnCKJobyM (2019) Fault-tolerant resilient control for fuzzy fractional order systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems49(9): 1797–1805.
22.
WangJShaoCChenY (2018) Fractional order sliding mode control via disturbance observer for a class of fractional order systems with mismatched disturbance. Mechatronics53: 8–19.
23.
WeiXGuoL (2010) Composite disturbance-observer-based control and H∞ control for complex continuous models. International Journal of Robust and Nonlinear Control20(1): 106–118.
24.
WuZ (2007) Study on the design of turbofan engine control system. Master Thesis, Northwestern Polytechnical University.
25.
XiaRWuQChenM (2019) Disturbance observer-based optimal longitudinal trajectory control of near space vehicle. Science China Information Sciences. DOI: 10.1007/s11432-018-9683-y.
26.
XieJZhaoJ (2016) Model reference adaptive control for switched LPV systems and its application, IET Control Theory and Applications10(17): 2204–2212.
27.
XuT (2017) Research on degradation aeroengines parameters estimation and control technology. Master Thesis, Nanjing University of Aeronautics and Astronautics.
28.
YaoXGuoL (2013) Composite anti-disturbance control for Markovian jump nonlinear systems via disturbance observer. Automatica49(8): 2538–2545.
29.
YuL (2002) Robust Control Linear Matrix Inequality Processing Method. Bei Jing: Tsinghua University Press.
30.
YueDHanQLamJ (2005) Network-based robust H∞ control of systems with uncertainty, Automatica41(6): 999–1007.
31.
ZongGWangQ (2015) Robust resilient control for impulsive switched systems under asynchronous switching. International Journal of Computer Mathematics92(6): 1143–1159.
