Fault diagnosis of PLC-based discrete event systems using Petri nets

Author:

Li Yongyao1,Wang Ya2,Zhu Guanghui12ORCID,Yin Li1,Zhang Huimin3

Affiliation:

1. Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macao

2. School of Electrical and Mechanical Engineering, Xuchang University, Xuchang, Henan, China

3. College of Computer Science & Engineering, Guangxi Normal University, Guilin, China

Abstract

This paper addresses the fault diagnosis problem of PLC-based systems that can be modeled as Petri nets under a certain level of abstraction. The existing Petri-net-based fault diagnosis approaches often associate transitions and/or places with sensors and require that any change in sensor readings needs to be treated by a PLC, leading to a situation that the PLC would be too busy processing the changes in sensor readings to perform other tasks. This paper assumes that a PLC does not monitor the changes of readings of sensors all the time, but periodically reads the values of sensors when needed. The system output is defined as a marking sequence interleaved with possible observed transitions. A fault diagnosis algorithm is developed by defining and solving integer linear programing (ILP) problems whose size is regardless of the length of the system output. The proposed approach enjoys high computational efficiency compared with other ILP-based approaches and is more suitable for fault diagnosis of PLC-based systems with low computing power.

Funder

Young and Middle-aged Scientific Research Basic Ability Promotion Project of Guangxi

National Natural Science Foundation of China

Science and Technology Development Fund-Macau SAR

Publisher

SAGE Publications

Subject

Applied Mathematics,Control and Optimization,Instrumentation

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