Abstract: Temperature for industrial control is a very important parameter, the accuracy of the temperature will directly affect the quality of industrial products. However, the temperature system has the problems of large inertia and lag, and it is difficult to establish accurate mathematical model. In this paper, the diffusion pump to the heating process of oil heating as the optimization objectives. In this paper has introduced the fuzzy PID controller and particle swarm optimization(PSO) PID parameters algorithm principle and operation mode, and use the Simulink simulation function of MATLAB in the three methods are simulated, and the simulation waveforms are analyzed. The above two controllers are switched in the process of temperature control, and the superiority of this method is verified by simulation.

Key words: Temperature control, Fuzzy?PID controller, PSO

摘要： 　温度对工业控制来说是一个至关重要的参数，温度的精准程度会直接影响工业产品的质量。由于温控系统有惯性大、滞后现象严重的问题，所以难以建立精确的数学模型，这给控制过程带来很大困难。以扩散泵给油加热的升温过程为优化目标，基于经典PID、模糊PID和粒子群优化PID参数算法，运用MATLAB软件中Simulink仿真功能对三种算法进行仿真，并对仿真结果进行分析。上述后两种控制算法在温控过程中进行切换控制，结果证明该方法具有一定的优越性。

关键词: 温度控制, 模糊?PID控制器, 粒子群算法