Adaptive fuzzy finite-time fault-tolerant attitude control of rigid spacecraft

Finite‐time attitude‐tracking control for rigid spacecraft with actuator failures and saturation constraints

“…The reliability of a spacecraft system mainly depends on its fault tolerability. Among existing fault‐tolerant schemes, actuator failures are particularly emphasized (see References , , , , to name a few) and various techniques are developed to design the fault‐tolerant controllers for spacecraft systems such that the degradation caused by actuator failures can be compensated. In this work, the attitude‐tracking control of spacecraft with actuator fault is further studied.…”

“…Based on the work in Reference , a modified FTSM technique is proposed in Reference , and subsequently an FNTSM manifold without any constraint is presented in Reference . In the light of the result in Reference , the FNTSM method is further pursued in References and . Inspired by existing achievements, an FNTSM surface composed of attitude‐tracking errors and angular velocity tracking errors is constructed as follows: where S = [ S 1 , S 2 , S 3 ] T ∈ R 3 , K j = diag{ K ji } with K ji > 0, j = 1, 2, i = 1, 2, 3.…”

“…However, the NTSM manifolds usually have slower convergence rate than the traditional linear sliding mode surfaces when the system state is far away from equilibrium. To this end, References introduced the fast nonsingular TSM (FNTSM) technique to achieve finite‐time attitude tracking for the rigid spacecraft.…”

“…Indeed, several achievements such as References , and consider these uncertainties comprehensively, yet the control algorithms can only handle the failures that actuators lose power partially, that is, the stability cannot be guaranteed if one of the actuators is completely disabled. Fortunately, FTC for completely disabled actuators are presented in References and but the problem of actuator saturation has not been addressed. In this work, we continue to study the finite‐time attitude‐tracking control for a rigid spacecraft along the existing achievements.…”

Adaptive fuzzy finite-time control for spacecraft formation with communication delays and changing topologies

“…Moreover, among various fuzzy control methods, in particular, the approach based on Takagi-Sugeno (T-S) model has drawn rapidly growing attention in recent years for its capability of approximating any smooth nonlinear functions over a compact set to arbitrary accuracy [27,28]. Recently, a number of significant results of engineering applications have A C C E P T E D M A N U S C R I P T been reported by using T-S fuzzy-model-based technique such as, the adaptive fuzzy controllers proposed in [29][30][31], which can be applied to industrial processes, real-time observer-based fault detection problems were solved in [32,33] with the help of fuzzy control, reliable and robust control for nonlinear stochastic systems with actuator faults in [34,35], controller design for network-based systems with communication constraints including time delays, packet dropouts, and signal quantization in [36,37], controller design for nonlinear systems with time-delays in [38,39], and also spacecraft control in [40][41][42][43]. More specifically, the fuzzy control schemes have been applied successfully to approximate the disturbance of spacecraft in [40] and [41], and the adaptive fuzzy controllers combined with NFTSMC to reject system uncertainties in [42] and [43] were effective.…”