The temperature of superheated steam of boiler in thermal power plants has large delay property

and its model changes with the boiler load

which causes the PID controller designed on the basis of mathematical model can not realize good control effects.Against this problem

this paper proposes an improved model free adaptive control algorithm based on quantum-behaved particle swarm optimization(QPSO-IMFAC).This algorithm gets rid of the dependence on the model.Using the quantum-behaved particle swarm optimization(QPSO)algorithm to find the optimal control parameters of the improved model free adaptive control algorithm(IMFAC)can overcomes the shortcomings that the parameters of the conventional MFAC algorithm are difficult to be ascertained.The simulation test result shows that

the boiler system has strong anti-disturbance ability and high robustness when using the QPSO-IMFAC algorithm to control the superheated steam temperature

indicating the QPSO-IMFAC algorithm is superior to the conventional QPSO-PID algorithm in step response and set value disturbance control.