关键词: 粒子群算法, 粮堆温度场模型, 参数取值

Abstract: Because there are many parameters of grain temperature model and determination of these parameters is difficult. This paper proposes an optimization method based on PSO for grain temperature model. The experimental results show that the model with optimized parameters by this paper’s methods can calculate more accurate the temperature of grain than existing methods. The error ratio to real measurement data is significantly decreased. This method can optimize many parameters of models in complex conditions. The accuracy can be significantly improved.

Key words: Particle Swarm Optimization（PSO）, model of temperature field for grain, ascertain the values of parameters