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《Journal of Aerospace Power》 2007-09
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Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm

CAO Zhi-song,PIAO Ying(School of Aerospace,Tsinghua University,Beijing 100084,China)  
Based on the mathematical model of aeroengine,an optimization methodology of the PID controller parameters with genetic algorithm(GA) was developed.This optimization methodology is a global optimization and has nothing to do with initial values.Mixture genetic algorithm fusing the advantage of steeply convergence and highly precession of simplex algorithm and global convergence of genetic algorithm,is used to improve the searching process and precision.The result shows that the algorithm has good convergence and steadiness.
【CateGory Index】: V233.7
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