Fuzzy Quantum Genetic Algorithm and Its Application Research in Thermal Process Identification

Aiming at the disadvantage of the immobile rotated angle in quantum genetic algorithm(QGA),the fuzzy self tuning method was introduced and the fuzzy quantum genetic algorithm(FQGA)was put forward.The results of testing typical function demonstrate that the precision and the rate of convergence are improved by FQGA.A special program was compiled to identify the transfer function of thermal processes,and the effect is satisfied.Moreover,the transfer functions between primary air and bed temperature in a circulating fluidized bed boiler was identified.The results show the approach is easy to be used in identification and has a certain practical value.