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

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.