Electric tracing system temperature control of submarine heavy oil pipeline based on genetic algorithm

摘要

In order to optimize the heating dynamic response of heavy oil in the submarine pipeline, the control system of the pipeline electric current tracing system is designed. Firstly, the mathematical model of electric current tracing system for heavy oil pipeline is established based on mechanism modeling method. Aims at the controlled object with First Order Plus Dead Time (FOPDT) model, temperature is controlled with the most widely used PID controller in industrial process control. Secondly, a variety of tuning methods for controller parameters are discussed. Finally, the temperature control method based on genetic algorithm tuning is established, and comparisons are drawn by MATLAB simulation. The results show that the temperature overshoot of PID temperature control method based on genetic algorithm is smaller, and the time for heating to target temperature is also significantly reduced. Therefore, PID temperature control method based on genetic algorithm can shorten the tuning time for parameters significantly, it has the higher heating efficiency with less energy cost, furthermore, and it can well meet the needs of heating system control.