关键词: 阳极焙烧, 燃油供给温度, 粒子群优化辨识与优化, 模糊预测函数控制（F-PFC）

Abstract: The accurate control of fuel oil feeding temperature is a nonlinear dynamic tracking control problem.In practice，the fuel oil feeding temperature accurate dynamic tracking control is very difficult by traditional PID controller.It induces that it is very difficult to eject atomization and combine with air for fuel oil.So part of fuel oil have not get sufficient combustion.It always leads to waste of fuel oil and environmental pollution.These problems are solved by Fuzzy predictive functional control（F-PFC） for particle swarm optimization algorithm.These results of simulation and experiment show that the F-PFC has higher precision than the method of PID.It is proved that this method is effective in the fuel oil feeding temperature accurate dynamic tracking control for anode baking.

Key words: anode baking, fuel oil feeding temperature, partical swarm optimization identification and optimization, Fuzzy predictive functional control