Abstract

The problem of fault detecting subject to external disturbances has been a topic of considerable interest. In this paper, a sliding mode observer for fault detection and isolation is applied to a continuous reactor. Additionally, a general review has been done on dynamic model of continuous reactor along with detailed study of the mathematical model of these kinds of systems. Then, sliding mode observer is investigated with detailed comment. In order to isolate and estimate the possible actuator faults a bank of Sliding Mode Observer (SMO) is designed. Also a simple canonical form for sliding mode observer is presented. A design procedure is described and linear simulation results are presented to demonstrate the approach.

Highlights

  • In some systems like CSTR reactors and other complex systems, some sensors cannot be placed in desirable location

  • Edwards and Spurgeon [31, 24] suggested a canonical form for designing of sliding mode observer depending on special circumstances associated with the output and input distribution matrices, and as well as the invariable zeros of the system

  • General scheme of the designed Sliding Mode Observers is shown in Figs. 2, 3

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Summary

Introduction

In some systems like CSTR reactors and other complex systems, some sensors cannot be placed in desirable location. Some of approaches are based on Kalman and/or Luenberger observer Their applications to reactors diagnosis are designed by resorting to linearized models of reactor [17, 18]. Edwards and Spurgeon [31, 24] suggested a canonical form for designing of sliding mode observer depending on special circumstances associated with the output and input distribution matrices, and as well as the invariable zeros of the system. Their procedure expressed in [30, 24] used both linear and nonlinear output error injection. A Continuous Reactor system example is given to illustrate the efficiency of the proposed approach

Description of the Continuous Reactor
Model Linearization
FDI Using Sliding Mode Observer
Simulation Results
Conclusions
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