关键词: 油料, 输送温度, 智能预测, 自适应粒子群优化算法, 变参数PID, 控制方法

Abstract: In order to solve the control problem with large time delay and uncertainty concerning fluid heating in the process of heavy oil transfer.An intelligent predicting variable parameters PID control method based on the predictive model is suggested.This method adopts Adaptive Particle Swarm Optimization（APSO） to solve unmatched model，the variable parameters to overcome the system uncertainty，and APSO to identify the model parameters and to optimize the PID control parameters of the controller.The simulation and application results show that the method is better than self-tuning PID.It has hopeful application prospect.

Key words: oil, heating flow temperature, intelligent predicting, Adaptive Particle Swarm Optimization（APSO）, variable parameters PID, control method