Application of a model based fault isolation method for nonlinear dynamic systems

Abstract

The goal in many fault isolation schemes is to decrease the isolation and identification time. The mathematical model of the physical system is the information available before hand. This paper presents the application of a nonlinear model based adaptive observer design to help in the isolation of faults in parameters of nonlinear dynamic systems. The method uses parameter partition and it fits many kinds of nonlinear dynamic systems. One important assumption is the monotonicity of the nonlinear function. The simulations results of an alcoholic fermentation model are used to demonstrate the method validity.

Soft Sensor Design via Switching Observers

“…Before closing, it is important to mention that the full order form of the proposed here switching observers allows the detection of sudden increases of the estimation errors, corresponding to differences between the estimated and the original variables of the process, thus contributing to fault detection and fault isolation (see [ 41 , 42 ]). This is a first direction for future research.…”

Soft Sensor Design via Switching Observers

“…Before closing, it is important to mention that the full order form of the proposed here switching observers allows the detection of sudden increases of the estimation errors, corresponding to differences between the estimated and the original variables of the process, thus contributing to fault detection and fault isolation (see [ 41 , 42 ]). This is a first direction for future research.…”

Sensor and Actuator Fault Diagnosis Based on Soft Computing Techniques

“…The dynamic model of the robotic system can be derived via either the Lagrangian or Newton-Euler methods [10,12,18,28]. Generally, a healthy manipulator arm is described by the following system of differential equations: M( ) V( , ) G( ) ( , , , t) , θ θ+ θ θ + θ +µ θ θ τ = τ…”

Soft Sensor Design via Switching Observers

“…Before closing, it is important to mention that the full order form of the proposed here switching observers allows the detection of sudden increases of the estimation errors, corresponding to differences between the estimated and the original variables of the process, thus contributing to fault detection and fault isolation (see [ 41 , 42 ]). This is a first direction for future research.…”

Sensor and Actuator Fault Diagnosis Based on Soft Computing Techniques

“…The dynamic model of the robotic system can be derived via either the Lagrangian or Newton-Euler methods [10,12,18,28]. Generally, a healthy manipulator arm is described by the following system of differential equations: M( ) V( , ) G( ) ( , , , t) , θ θ+ θ θ + θ +µ θ θ τ = τ…”

Soft Sensor Design via Switching Observers

“…Before closing, it is important to mention that the full order form of the proposed here switching observers allows the detection of sudden increases of the estimation errors, corresponding to differences between the estimated and the original variables of the process, thus contributing to fault detection and fault isolation (see [ 41 , 42 ]). This is a first direction for future research.…”

Sensor and Actuator Fault Diagnosis Based on Soft Computing Techniques

“…The dynamic model of the robotic system can be derived via either the Lagrangian or Newton-Euler methods [10,12,18,28]. Generally, a healthy manipulator arm is described by the following system of differential equations: M( ) V( , ) G( ) ( , , , t) , θ θ+ θ θ + θ +µ θ θ τ = τ…”