Moez Boussada

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In this paper, a nonlinear high gain observer is developed to reconstruct the full state of an olive oil waste esterification process. This operation is taking place in a semi-continuous stirred tank reactor. The plant model, as most of the chemical processes, presents a high level of non linearities and interconnections between states. Most of the works(More)
In this study, we have developed a method of diagnosis based on high gain observers, for detecting faults of the actuators in a semi continuous chemical reactor. This algorithm has the advantage of detecting multiple faults simultaneously. The observer is constructed from a sub-model, one needs two observers which related to the number of actuator. The(More)
This paper deals with Fault Detection Identification and Isolation (FDII) in actuators and system (component) applied to a Semi Continuous Stirred Tank Reactor(SCSTR). The proposed FDII is based on high gain observers, for detecting faults of actuators and system component. This algorithm has the advantage of detecting multiple faults simultaneously. The(More)
In this paper, two versions of nonlinear high gain observer are developed to reconstruct the full state of an olive oil waste esterification process. This operation is taking place in a Semi Continuous stirred Tank Reactor (SCSTR). The plant model, is one of the most important plants in chemical processes, presents a high level of non linearities and(More)
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