Data‐based fault‐tolerant control for uncertain linear systems with actuator faults
Chun‐Hua Xie, Guang‐Hong Yang · IET Control Theory and Applications · 2016
This study investigates the robust adaptive fault‐tolerant control (FTC) problem for unknown continuous‐time linear systems with parameter uncertainties, external disturbances and actuator faults such as stuck, outage and loss of effectiveness. It is assumed that the upper bounds of the disturbances and stuck faults are unknown. A new data‐based FTC scheme is proposed in a parameter‐dependent form. The time‐varying parameters are adjusted online based on an adaptive method to compensate automatically the uncertainties, disturbances and actuator faults. The time‐invariant parameter solved by using real system data is introduced for helping to stabilise the system. Furthermore, it is shown that all signals in the resulting closed‐loop system are uniformly ultimately bounded and the states converge asymptotically to zero. Compared with the existing results, the proposed approach is data based and it is easier to implement. Finally, two simulation examples are provided to show the effectiveness of the proposed approach.