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A Control Algorithm Derived from Immune Principle
引用本文:LIU Jian-hua YAN De-kun WU Li-bo. A Control Algorithm Derived from Immune Principle[J]. 中国矿业大学学报(英文版), 2006, 16(3): 344-348
作者姓名:LIU Jian-hua YAN De-kun WU Li-bo
作者单位:[1]School oflnformation and Electrical Engineering, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China [2]Department of Mathematics, Linyi Normal University, Linyi, Shandong 276005, China
基金项目:Project supported by Priority Academic Discipline Foundation of Linyi Normal University, Linyi, Shandong, China
摘    要:Artificial immune systems (AIS) are biologically inspired problem solvers having been successfully applied in many fields. A controller was designed according to the interactive mechanism between immune molecules. Multiform antigens were constructed and corresponding antibodies designed. The concept of “antibiotic” is presented, whose features and injection time as well as construction method discussed. Based on biological immune mechanism, some fuzzy rules are summarized and used in constructing the controller. The result shows that this controller is simple in structure and can be easily computed, so it is suitable for real time control. The control variable can change adaptively according to the error and its change tendency. Therefore the controller is very flexible and can be directly used in controlling some nonlinear plants. To test the validity of the algorithm, two simulation examples are given, one is linear, and the other is nonlinear. The Simulation results indicate that the control performance of this algorithm is better than that of the conventional PID.

关 键 词:人工免疫系统 抗原 控制算法 抗体 抗生素
收稿时间:2006-01-10
修稿时间:2006-02-25

A Control Algorithm Derived from Immune Principle
LIU Jian-hua,YAN De-kun,WU Li-bo. A Control Algorithm Derived from Immune Principle[J]. Journal of China University of Mining and Technology, 2006, 16(3): 344-348
Authors:LIU Jian-hua  YAN De-kun  WU Li-bo
Abstract:Artificial immune systems (AIS) are biologically inspired problem solvers having been successfully applied in many fields. A controller was designed according to the interactive mechanism between immune molecules. Multiform antigens were constructed and corresponding antibodies designed. The concept of "antibiotic" is presented, whose features and injection time as well as construction method discussed. Based on biological immune mechanism, some fuzzy rules are summarized and used in constructing the controller. The result shows that this controller is simple in structure and can be easily computed, so it is suitable for real time control. The control variable can change adaptively according to the error and its change tendency. Therefore the controller is very flexible and can be directly used in controlling some nonlinear plants. To test the validity of the algorithm, two simulation examples are given, one is linear, and the other is nonlinear. The Simulation results indicate that the control performance of this algorithm is better than that of the conventional PID.
Keywords:artificial immune system  control  antigen  antibody  antibiotic
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