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Vol. 109, Issue 10, October 2009, pp. 59-69




Integration of Fault Detection and Isolation with Control Using Neuro-fuzzy Scheme


A. Asokan, D. Sivakumar

Department of Instrumentation Engineering, Faculty of Engineering & Technology

Annamalai University, Annamalai Nagar-608 002, Tamilnadu, India

E-mail: asokan_me@yahoo.co.in



Received: 19 April 2009   /Accepted:  23 October 2009   /Published:  30 October 2009


Abstract: In this paper an algorithms is developed for fault diagnosis and fault tolerant control strategy for nonlinear systems subjected to an unknown time-varying fault. At first, the design of fault diagnosis scheme is performed using model based fault detection technique. The neuro-fuzzy chi-square scheme is applied for fault detection and isolation. The fault magnitude and time of occurrence of fault is obtained through neuro-fuzzy chi-square scheme. The estimated magnitude of the fault magnitude is normalized and used by the feed-forward control algorithm to make appropriate changes in the manipulated variable to keep the controlled variable near its set value. The feed-forward controller acts along with feed-back controller to control the multivariable system. The performance of the proposed scheme is applied to a three- tank process for various types of fault inputs to show the effectiveness of the proposed approach.


Keywords: Fault detection, Neuro fuzzy scheme, Chi-square test, Integration of fault diagnosis and control


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