Adaptive fuzzy fault-tolerant control for a class of kinetic kill vehicle with actuator faults and unmodeled dynamics

In this paper, an adaptive fuzzy fault-tolerant controller is introduced for a class of kinetic kill vehicle (KKV) with unmodeled dynamics, actuator faults and structural uncertainties. The key point is that the effects of structural uncertainties, actuator faults and unmodeled dynamics existing in KKV systems are universally considered and suppressed by the proposed method. To deal with the unmodeled dynamics and structural uncertainties, a dynamic signal is employed and a fuzzy logic system (FLS) is presented to approximate the multisource uncertainties. In addition, indirect compensation control laws are designed in order to handle the actuator faults caused by fuel consumption and manufacturing errors. Last but not least, benefiting from the adaptive laws, the external disturbances are appropriately compensated. The simulation results show that the proposed algorithm enables the system states of KKV to track the desired trajectories tightly under different conditions and the control performance is better compared with other algorithms.