AN EFFICIENT AGENT-BASED BIOLOGICAL IMMUNE SYSTEM APPROACH TO ADAPTIVE MANUFACTURING SYSTEM CONTROL

Lei Wang, Chaomin Luo, Jingcao Cai, and Ming Li

Keywords

Biological immune mechanism, multiagent system, immune monitoring system model, health evaluation, coordination control

Abstract

An agent-based biological immune system (BIS) approach for adaptive health evaluation and control to a distributed manufacturing monitoring system is proposed. The presented approach establishes an immune monitoring model of a manufacturing system by exhibiting desirable immune characteristics, such as adaptation, immune recognition, immune memory and self-organization. In the BISbased structural model, a group of autonomous agents mimic immune cells (such as B-cells) in BIS, have local interactions with monitoring environment and deal with emerging problems by simulating immune responses. Simulating the biological immune mechanism is able to monitor, diagnose and learn the faults. The methods of recognition and evaluation of fault antigens are proposed which can be used to coordinate and control the manufacturing system. The physical simulation platform for biological immune-inspired monitoring system has been developed. The experimental results show the feasibility of using this approach for real-time health monitoring and coordination control of manufacturing system.

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