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Immune Principles-Based Research On Intelligence Control

Posted on:2007-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:B WangFull Text:PDF
GTID:2178360212467054Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In recent years, the fast development of medicine immunology attracts many researchers in different fields. The researchers continually apply the powerful information processing mechanisms in the biology immune system into science and engineering fields for solving actual problems, so the artificial immune system is born. Because there is high intelligence in the biology immune system and the close relationship between the biology immune system and the artificial immune system, the artificial immune system have been a research hotspot. If we integrate the artificial immune system with the control system, then we can bring more intelligence into the control system, and promote the development of the control field.This paper learns and analyses the main physiological function of the biology immune system—immune response deeply, and researches on the process of the adaptive immune response in the immune response. On the basis of the process of the adaptive immune response, this paper abstracts the immune optimization principle and the immune feedback principle, then integrates them with the control system. The research of this paper belongs to the artificial immune system.First, to solve the parameters optimization problems in the PID controller, this paper designs an immune optimization algorithm based on the immune optimization principle. Because the optimization process in the adaptive immune response actually is a process of the evolution of B cells, this algorithm is designd based on the process of the evolution of B cells. The steps of this algorithm are as follows: selection, short-range variation, long-distance variation, update, remembrance and the parameters in the algorithm adjustment. The simulation results show the validity of this algorithm, and the mechanism of this algorithm is superior to a typical genetic algorithm.Then, this paper integrates the immune feedback principle with PID control. Comparing the error and the variation of the error with the antigens, this paper designs a fuzzy immune nonlinear PID controller according to the character of the integral control action, and then gets the parameters of this controller by...
Keywords/Search Tags:Adaptive immune response, Immune optimization algorithm, PID control, Fuzzy immune nonlinear PID control, Fuzzy control
PDF Full Text Request
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