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为了保证远洋船舶上粮食长期储存的安全,需有效控制粮食库温度和水分。文章应用粒子群优化算法对粮食库温度、湿度PID控制器参数开展了寻优研究,建立了相应的优化目标函数,利用寻优得到的参数构成温湿度PID控制器,对粮食库空气处理的温湿度进行优化控制。并在Matlab环境下开展了基于粒子群PID控制的粮食库温湿度控制仿真试验,验证了利用这种算法获得的良好控制效果。
In order to ensure the long-term storage of food on an ocean-going vessel, it is necessary to effectively control the temperature and moisture in the food bank. Particle swarm optimization (PSO) algorithm is used to optimize the PID temperature and humidity parameters of the food bank, and the corresponding optimization objective function is established. The temperature and humidity PID controller is constructed based on the optimized parameters, Humidity for optimal control. In the Matlab environment, a simulation experiment of temperature and humidity control of grain storage based on particle swarm PID control was carried out to verify the good control effect obtained by this algorithm.