Non-linear control system fault detection method based on T-S fuzzy model

Abstract

The invention discloses a non-linear control system fault detection method based on a T-S fuzzy model. The method comprises two stages of construction image characterization and fault detection. The method comprises the following steps: firstly, designing a controller based on a T-S fuzzy observer by considering that a T-S fuzzy model has a good approximate nonlinear system; the stability of a nonlinear system can be ensured while the controller is introduced, a foundation is laid for constructing image characterization of the system and a nominal system, and finally an image characterization model of the system and the nominal system is established. On the basis of image representation, an evaluation function is set by generating input and output errors, threshold setting is completed by solving a series of linear matrix inequalities, and fault detection of a nonlinear control system is achieved through decision logic based on input and output stability. According to the method, the evaluation function can be designed by effectively utilizing the input-output error generated by the image representation model, false report and missing report in process monitoring can be effectively reduced, and the fault detection accuracy is relatively high.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of a nonlinear control system in an industrial production process, in particular, a T-S fuzzy model has good approximation performance and can accurately describe the characteristics of the nonlinear system, and proposes a nonlinear system based on the T-S fuzzy modeling technology. The control system fault detection method is a specific application in fuzzy control and fault diagnosis of complex nonlinear systems. Background technique [0002] With the development of science and technology, the requirements for the safety, reliability and effectiveness of equipment and controlled systems are getting higher and higher, and the research on fault diagnosis technology for complex systems has been paid more and more attention. However, the actual systems in nature are almost all nonlinear in a strict sense. In order to improve the fault diagnosis performance of nonlinear systems, and at the sa...

AI Technical Summary

Problems solved by technology

Compared with the open-loop system, the research on the fault detection technology of the closed-loop nonlinear system is not very deep at home and abroad. How to apply the mature theory of the open-loop system to the closed-loop system needs further research, which also greatly limits the Development of Research on Fault Diagnosis Technology of Nonlinear System

Images