Abstract
In current study for wing flutter of reentry vehicle, the effect of input saturation to wing flutter is rarely considered and few of the fault-tolerant control problem is taken into account. In this paper, we use the radial basis function neural network and the finite-time adaptive fault-tolerant control technique to deal with the wing flutter problem, which is subject to input saturation, parameter uncertainties and external disturbances. Sensor and actuator faults are both considered in the control design. Firstly, an optimal flight trajectory of reentry vehicle is designed using the conjugate gradient method, so as to decrease the aerodynamic heating rate and temperature on the surface of the reentry vehicle. Then based on the trajectory optimization, we ignore the effect of temperature, and build up the motion equation of wing flutter. Finally, a finite-time H ∞ adaptive fault-tolerant controller is introduced. Simulation results indicate that, the optimized trajectory designed may decrease the aerodynamic heating rate of the reentry vehicle; the designed fault-tolerant controller can effectively deal with the faults in the system and can promptly suppress the wing flutter as well.
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Recommended by Associate Editor Sing Kiong Nguang under the direction of Editor Fuchun Sun. This work is supported by the Natural Science Foundation of China (11272202, 11132001 and 11472171), the Key Scientific Project of Shanghai Municipal Education Commission (14ZZ021), the Natural Science Foundation of Shanghai (14ZR1421000) and the Special Fund for Talent Development of Minhang District of Shanghai.
Ming-Zhou Gao is a Ph.D. candidate of Shanghai Jiaotong University, China. His major in Engineering Mechanics. His current research interests focus on structural dynamics and control.
Guo-Ping Cai is a professor in the Department of Engineering Mechanics, Shanghai Jiaotong University, China. He received the Ph.D. degree in Engineering Mechanics from Xi’an Jiaotong University in 2000. His current research interests focus on structural dynamics and control, delayed system dynamics and control, and coupled system dynamics and control.
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Gao, MZ., Cai, GP. Finite-time H ∞ adaptive fault-tolerant control for wing flutter of reentry vehicle subject to input saturation. Int. J. Control Autom. Syst. 15, 362–374 (2017). https://doi.org/10.1007/s12555-015-0311-9
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DOI: https://doi.org/10.1007/s12555-015-0311-9