This study investigates the active fault tolerant control (FTC) problem for attitude system of a rigid satellite, which is affected by parameter uncertainty, unknown exogenous disturbance and actuator time‐varying faults. The upper bounds generalised perturbation are unknown. A novel adaptive non‐linear estimation observer designed in order to obtain estimated value Then, an approach proposed under framework both backstepping theory. Consequently, Lyapunov theory used prove robust asymptotic...

Abstract In this article, the distributed tracking control problem is studied for formation flight systems of unmanned aerial vehicles (UAVs) in presence input constraints and actuator faults. Different from traditional approximation technique, such as radial basis function neural networks fuzzy logic systems, novel broad learning system technique introduced study to identify unknown lumped disturbances including external disturbances, additive Combining dynamic surface with fractional order...

In this paper, the distributed fault-tolerant tracking control (FTTC) and obstacle avoidance problem is investigated for multiple unmanned aerial vehicles (UAVs) considering lumped disturbances communication link faults. Firstly, a cerebellar model articulation neural network (CMANN) introduced to esti-mate disturbances. Meanwhile, virtual leader state observers are used address unknown Then, nonsingular fast terminal sliding mode formation controller implemented track desired trajectory, an...

The distributed adaptive tracking control schemes are addressed to deal with the formation problem of multiple unmanned aerial vehicles subject input saturation, actuator fault, and external disturbance. First, a novel backstepping approach associated command filter is presented settle model uncertainty saturation problems. Second, robust fault-tolerant controller introduced tackle case disturbance, by estimating upper bounds faults disturbances. In addition, proposed controllers enable...

In this study, the active fault-tolerant control problem is investigated for a rigid spacecraft in presence of inertia uncertainty, external disturbance, multiple actuator faults and saturation. The attitude system model fault are first given. A sliding mode–based detection observer radial basis function neural networks–based estimation designed to detect time occurred estimate amplitude unknown fault, respectively. On that basis, an scheme proposed accommodate effects faults, it guarantees...

In this article, a fault tolerant control approach is proposed for the formation system of unmanned aerial vehicles with bounded external disturbance and unknown using both adaptive sliding mode [Formula: see text] techniques. First, linearized model established under straight level flight condition. A reference introduced aim problem. Then surface designed deduced error dynamics, an virtual controller estimation algorithm are proposed, which can drive dynamics onto predefined surface,...

We propose a terminal sliding mode control (SMC) law based on adaptive fuzzy-neural observer for nonaffine nonlinear uncertain system. First, novel approximation algorithm is proposed and controller design. Then, an introduced to identify the simplified model resolve problem of unavailability state variables. Moreover, information observer, SMC designed. The Lyapunov synthesis approach used guarantee global uniform ultimate boundedness property estimation error asymptotic output tracking...

In this paper, the distributed fault-tolerant tracking control and collision avoidance problem is investigated for unmanned aerial vehicles (UAVs) with actuator failures. First, a formation controller based on backstepping designed to track target trajectory. Then, an adaptive parameter update law developed address UAVs failures improved artificial potential function discussed avoidance. Finally, simulation results of two are given verify effectiveness feasibility method.

In this paper, a passive fault tolerant controller is designed for hypersonic vehicle with bounded external disturbances and unknown actuator loss of effectiveness faults. The nonlinear attitude dynamics models are firstly given, when some occur faults, the faulty control systems established, which could be divided into outer angle loop inner velocity based on timescale separation principle. By using terminal sliding mode technique, approach developed, guarantees that closed-loop in case...

Summary In this study, a novel integrated fault tolerant control (FTC) strategy is proposed for rigid satellite attitude systems under the case of external disturbance, Lipschitz nonlinearity, and sensor faults. Different from traditional adaptive estimation method, an augmented observer designed considered faulty system, which could be used estimating both system state fault. A virtual firstly introduced, then, real derived as result unmeasurable information to design observer. On basis,...

In this study, a novel integrated fault estimation (FE) and fault-tolerant control (FTC) design approach is developed for system with time-varying delays additive based on dynamic event-triggered communication mechanism. The traditional static mechanism modified by adding an internal variable to increase the inter-event interval decrease amount of data transmission. Then, dynamical observer designed estimate both state unknown signal simultaneously. A estimation-based FTC then given remove...

Summary An adaptive fast nonsingular integral terminal sliding mode control scheme is proposed for the distributed formation problem of multiple unmanned aerial vehicles (UAVs) affected by actuator faults and external disturbances. In order to achieve a good cooperative tracking performance UAVs during mission execution, adverse effect lumped disturbances composed failures, wind vortex estimated cerebellar model articulation neural network, meanwhile tangent function introduced eliminate...

In this paper, an adaptive fault-tolerant control (FTC) strategy is proposed for a class of nonlinear systems in the presence actuator fault, saturation, and unknown external disturbance. The mathematical model second-order system with fault first given, estimation observer designed to estimate occurred time-varying fault. On basis, FTC using both nonsingular fast terminal sliding mode (NFTSM) radial basis function neural networks (RBFNNs) techniques compensate negative effects caused by...

In this paper, a novel fault tolerant control (FTC) approach is proposed for the attitude systems of unmanned aerial vehicle (UAV) using dynamic surface technique. Firstly, nonlinear models UAV with actuator faults are given, which represent characteristics UAV. Then, scheme proposed, guarantees asymptotic tracking and ultimate uniform boundedness closed-loop in presence an fault. Further, transient performance considered designing FTC, characterizes convergence rate maximum overshoot error....

We address a fault tolerant control (FTC) issue about an unmanned aerial vehicle (UAV) under possible simultaneous actuator saturation and faults occurrence. Firstly, the Takagi-Sugeno fuzzy models representing nonlinear flight systems (FCS) for UAV with unknown disturbances are established. Then, normal H -infinity tracking controller is presented using online estimator, which introduced to weaken effect. Based on controller, we propose adaptive (FTTC) solve loss of effectiveness (LOE)...

In this paper, an active fault tolerant controller is proposed for the unmanned aerial vehicle (UAV) attitude control system using nonsingular fast terminal sliding mode technique. Firstly, nonlinear dynamics model of UAV with actuator faults and external disturbance described. Next, a neural network-based estimation observer designed to obtain estimated value unknown disturbance, stability also proved. Then, based on The Lyapunov analysis shows that can guarantee finite time asymptotic...