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Robust adaptive fault-tolerant H ∞ control of reentry vehicle considering actuator and sensor faults based on trajectory optimization

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Abstract

Based on the trajectory optimization, this article proposes an adaptive fault-tolerant H ∞ compensation control approach for a reentry vehicle with external disturbance and parameter uncertainty. The sensor and actuator faults are both considered to including loss of effectiveness, stuck and outage of actuator, and loss of effectiveness of sensor. Firstly, we set up the reentry model for the reentry vehicle and use computational fluid dynamics (CFD) to calculating the heating rate on the surface of the vehicle. Then we divide the vehicle into several isothermal regions appropriately according to the heating rate, and establish the corresponding database for the aerodynamic characteristics. When the database accomplished, more accurate control variables and flight path can be achieved by using the conjugate gradient method. And the aerodynamic heating rate on the surface of the reentry vehicle will be improved considerably. Afterwards, an adaptive fault-tolerant H ∞ compensation control method is introduced to deal with the external disturbance and parameter uncertainty of the reentry vehicle system based on the trajectory optimization. The Lyapunov functional is adopted to guarantee the stability of the system. The effectiveness of such adaptive fault-tolerant H ∞ compensation control method has been identified by numerous simulation results.

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Author information

Authors and Affiliations

  1. Department of Engineering Mechanics, State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China

    Ming-Zhou Gao & Guo-Ping Cai

  2. Department of Engineering Aerospace, State Key Laboratory of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Street, Baixia District, Nanjing, 210016, China

    Ying Nan

Authors
  1. Ming-Zhou Gao
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  2. Guo-Ping Cai
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  3. Ying Nan
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Corresponding author

Correspondence to Guo-Ping Cai.

Additional information

Recommended by Associate Editor Jiuxiang Dong under the direction of Editor Hyouk Ryeol Choi. This work is supported by the Natural Science Foundation of China (11132001, 11272202 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.

Ying Nan is a professor in the Department of Engineering Aerospace, Nanjing University of Aeronautics and Astronautics, China. He received the Ph.D. degree in Engineering Aerospace from Northwestern Polytechnical University in 1993. His current research interests focus on flight dynamics and control, aircraft design and simulation of flight.

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Gao, MZ., Cai, GP. & Nan, Y. Robust adaptive fault-tolerant H ∞ control of reentry vehicle considering actuator and sensor faults based on trajectory optimization. Int. J. Control Autom. Syst. 14, 198–210 (2016). https://doi.org/10.1007/s12555-014-0457-x

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