Adaptive observer of dynamical system
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Date
2019-06
Authors
Janet Lee
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Abstract
The increase in the complexity of manufacturing systems increases the importance
of fault detections and isolations. Fault detection is important to prevent failure of the
system and affect the productivity. This research studies the fault detection using
observer-based approach for a dynamical system. Direct current motor is used to
represent a dynamical system and an encoder is used to represent the sensor. The direct
current motor system is modelled using state space model. A linear observer and an
adaptive observer are designed to estimate the fault of a sensor and simulation is done
via MATLAB Simulink. Two types of encoder fault are modelled using MATLAB
Simulink to model the sensor fault during the simulation. From the result of simulations,
the linear observer is good at estimate states but failed when there is presence of fault in
the output signal. The adaptive observer is better in estimating the actual states of the
system with additive faults but failed in gain fault. Therefore, the adaptive observer is
better than a linear observer in fault detection and estimation. The adaptive observer can
be used to detect sensor fault in a dynamical system.