遗传算法优化模糊PID的喷雾干燥温度控制应用

针对洗衣粉喷雾的干燥过程,首先分析了产生进塔风温的燃油热风炉稳定性对洗衣粉基粉湿含量的重要意义,从而提出了一种基于遗传优化模糊PID参数的喷雾干燥温度控制方法。这种控制方法采用遗传算法优化的模糊控制中的比例因子和量化因子,从而使控制规则和隶属函数的优化更加合理,最后通过MATLAB对优化后的模糊控制器进行仿真。结果显示,经过优化后的模糊控制器的控制品质有较大的改善和提高。

Spray Drying Temperature Based on Fuzzy PID Parameter Optimized by Genelic Algorithms

Aiming at the detergent spray drying process,after analyzing the significance of the fuel hot air furnace temperature stability to the detergent moisture content,a design method for optimizing fuzzy PID parameter of spray drying temperature based on genetic algorithms is presented,the method used Genetic Algorithms to optimize the quantization factors and scale factors of fuzzy PID controller,thereby to improve the rules and membership functions.Finally,the optimized fuzzy controller was simulated by MATLAB/Simulink environment.The simulated experiment demonstrates the effectiveness and feasibility of the optimal controller.