Bond Graph Reduced Order Observers for Active Fault Tolerant Control

Objectives: In order to compensate the sensor fault effect, the diagnosis and the reconfigurable control laws are proposed. Methods/Statistical Analysis: We propose the use of the Bond Graph (BG) tool. The suggested law is based on reduced observer set for fault diagnosis, and weighting functions for blending the estimated states vector obtained from the different observers. To ensure the control closed loop strategy, and to eliminate in the steady state the tracking error, the reconfigurable feedback and feedforward controllers are presented using Lyapunov technique. Findings: The findings achieved are simulation tests, which applied on the stringing machine, provide better results. Application: The stringing machine elements modeling is a step indispensable before estimation, diagnosis, control and simulation tasks.