%0 Journal Article %A ZHANG Xing-hua %A ZHU Xiao-rong %A LIN Jin-guo %T Parameter self-tuning of PID controllers based on quantum Genetic Algorithms %D 2007 %R %J Computer Engineering and Applications %P 218-220 %V 43 %N 21 %X A novel parameter tuning method of PID controllers based on quantum genetic algorithms is proposed.First,a fitness function which includes some terms represent overshoot,rise time and steady error of the system is defined,and the terms are weighted properly according to the demand of the actual system.Then a quantum genetic algorithm,which represents chromosomes with quantum bits and realizes population evolution with the quantum rotation gate,is used for multi-objective optimization of PID.So the parameter self-tuning of PID controllers can be achieved.Simulation results show that the comprehensive performance of PID controllers obtained by the proposed method superior to that by conventional methods and genetic algorithms. %U http://cea.ceaj.org/EN/abstract/article_23574.shtml