Research On Virtual Prototype Based Ai Fault Diagnosis Method Of Pneumatic Actuator

With increasing complication and integration of modern industrial process controlsystems, the research on process real-time monitoring and fault diagnosis technique hasbecome particularly important in recent years. Actuator, as one of the basic equipment inindustrial automation process control, is the final executive element of the automaticcontrol system, which plays a very important role in process control system. With thedevelopment of computer technology, the research on actuator modeling based on virtualprototype technology has laid the foundation of the actuator’s fault diagnosis.This paper has analysed the working principle and characteristics of Pneumaticdiaphragm actuator, built the model of Pneumatic diaphragm actuator and performed themodel validation in the MATLAB environment. A set of common faults of Pneumaticdiaphragm actuator are simulated and its damage to control process are described in thearticle．Investigation and analysis of existed artificial immune algorithm, in this paper, theperformances of the proposed methods are demonstrated by the simulation data ofPneumatic diaphragm actuator model. In the research, using KPCA to reduce the datadimension during the process of original data pretreatment, which is in order to reducecalculation and complexity. The introduction of antibody memory and update mechanismbased on the genetic operator, has accelerated the generation speed of memory antibodies,which can improve blind search capability of the genetic algorithm when generateantibodies, meanwhile the diversity of memory antibodies has been ensured. While theperformance of the proposed fault diagnosis method varies with different fault classes,because of the different representation and distribution characteristics of training samplesin the aspect of fault diagnosis. The classification mechanism based on largest quantityrule has improved the accuracy of fault classification. By using this method to Pneumaticdiaphragm actuator’s fault diagnosis, the experimental results indicate that the faultdetection method based on artificial immune algorithm performs well.