Keywords :
Adaptive Sliding Mode Observer; Australia; Barrier Lyapunov Function; Constrained Control; Estimation error; Nonlinear systems; Observers; Optimization; Prescribed Performance Bound; Robot sensing systems; Sensor Fault; Tracking Control; Trajectory; Adaptive sliding-mode observers; Barrier lyapunov function; Constrained controls; Estimation errors; Lyapunov's functions; Observer; Optimisations; Prescribed performance bounds; Robot sensing system; Sensors faults; Tracking controls; Control and Systems Engineering; Computer Science Applications; Electrical and Electronic Engineering
Abstract :
[en] In this note, a robust output feedback Fault-Tolerant Control (FTC) for a high-performance tracking problem of a Lipschitz nonlinear system under simultaneous sensor fault and disturbance is developed. The proposed scheme includes the design of an adaptive sliding mode observer which recovers the separation principle. A tangent-type barrier Lyapunov function is incorporated in the backstepping framework to maintain the system states in a prescribed performance bound. Moreover, the unknown estimation error is taken into account. Furthermore, the bounded initial condition assumption is relaxed by defining a time variable bound. The effectiveness of the proposed solution is numerically examined on a DC motor model.
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