Fault Detection for a Temperature Control System using PID Controller Based on Artificial Immune Systems

Robson Pacífico Guimarães Lima, Bruno Willian de Souza Arruda, Cleonilson Protásio de Souza

Abstract

An Artificial-Immune-System (AIS) based anomaly detection system applied to a PID-based Temperature Control System (TCS) is presented. At normal working, the environment temperature is controlled by PID Control System in a LabVIEWTM platform. As the TCS is composed of sensors, PID circuitry and PWM actuator, faults in these devices can cause abnormal disturbances. An AIS-based algorithm, namely, the Negative Selection Algorithm (NSA), is the base of the proposed anomaly detection system. The NSA verifies abnormal system conditions based on the normal system conditions and it was used to verify abnormal (or faulty) system conditions of the PID controller responses. Experimental results show that the proposed system is effective in order to detect anomaly.

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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