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The Study Of Simulation Of Control System Based On Genetic Algorithms

Posted on:2005-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:E H KongFull Text:PDF
GTID:2168360122472224Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In the dissertation PID-control system is analyzed and simulated using Matlab as a tool of data processing. Genetic algorithm is used to search for the best PID factors. GA is a global optimization algorithms with high robust performance.It has been widely applied in automatic control field.PID optimization based on GA realizes the multi-objective optimization of time domain and frequency domain performance targets. Form the simulation result,we can see GA is a good method to select PID factors, and has its theoreticism and actuality.The most applications of the GA in the automatic field are still in theoretical simulation.This dissertation presents a data communication mode between the simulative and actual systems,which uses the Matlab Engine, virtual instrument platform Labwindows/CVI, and KMM(the simulative plant), This mode presents a new method to apply e GA in the engineering to develop industrial control systems.This method is easy and intuitionistic,and valuable for engineering application....
Keywords/Search Tags:Genetic algorithms, PID optimal-tuning, MATLAB simulink, Adaptability function
PDF Full Text Request
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