Actuator fault detection identification and isolation via high-gain observer for an olive oil waste esterification in a Semi Continuous Stirred Tank Reactor

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 signals used in our study derived from a real system. This diagnostic strategy has two levels, to detect and identify defects actuators, feed rate and the warming system in order to improve the reaction rate.