Dynamic tracking control of heavy oil supply temperature for sufficient combustion

Abstract

The accurate control of heavy oil supply temperature is a nonlinear dynamic tracking control problem. In practice, the heavy oil supply temperature accurate dynamic tracking control is very difficult by traditional PID controller. It induced that it is very difficult to ejected atomization and combine with air for heavy oil. So part of heavy oil had not get sufficient combustion. It always leads to waste of heavy 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 oil supply temperature accurate dynamic tracking control for anode baking.