Work

T-S Fuzzy Model-Based Fault Detection for Continuous Stirring Tank Reactor

Year: 2021

Type: article

Abstract: Continuous stirring tank reactors are widely used in the chemical production process, which is always accompanied by nonlinearity, time delay, and uncertainty. Considering the characteristic of the actual reaction of the continuous stirring tank reactors, the fault detection problem is studied in terms of the T-S fuzzy model. Through a fault detection filter performance analysis, the sufficient condition for the filtering error dynamics is obtained, which meets the exponential stability in the mean square sense and the given performance requirements. The design of the fault detection filter is transformed into one that settles the convex optimization issue of linear matrix inequality. Numerical analysis shows the effectiveness of this scheme.

Source: Processes

DOI: 10.3390/pr9122127

Authors: Yanqin Wang, Weijian Ren, Zhuoqun Liu, Jing Li, Duo Zhang

Institutions: Daqing Normal University, Northeast Petroleum University, University of Rostock

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,160

Funder: Natural Science Foundation of Heilongjiang Province