Sensor fault and unknown input estimation based on proportional integral observer applied to LPV descriptor systems

Overview & Synopsis

In this paper a detection, isolation and fault estimation scheme using a Proportional- Integral (PI) Observer that provides a robust estimation against measurements noise and unknown inputs is presented. The main contribution consists in the synthesis of a PI-Observer for descriptor LPV systems, can be useful not only for state estimation, but also to estimate sensor faults and unknown inputs. The proposed PI-Observer can provide an alternative fault diagnosis scheme. Once a fault is detected, a bank of observers is activated for the purpose of fault isolation. This scheme reconstructs the sensor faults based on augmented state equations where an auxiliary state is assigned to represent the dynamic behavior of the fault. An illustrative example is presented in simulation.