基于模糊神经网络PID的小麦制粉能耗控制

The control of wheat flour energy milling consumption based on fuzzy and neural network PID

建立关于湿度、硬度、入磨物料量等原粮品质的磨粉机能耗数学模型,利用模糊神经网络PID(Proportion-Integration-Differentiation)控制器对小麦制粉过程中磨粉机能耗进行控制,利用模糊神经网络算法对PID控制器参数进行在线整定,最后进行仿真验证。仿真结果表明,改进的PID控制器具有响应快、超调小、抗干扰性好等优点。

The mathematical model of the energy consumption, which has close relationship with the raw wheat quality such as humidity, hardness and granularity of raw, was firstly established for the wheat flour milling. Then a fuzzy neural network PID controller was proposed to realize the wheat flour milling process control. In the proposed algorithm, the parameters of PID controller were online tuned by the fuzzy neural network algorithm, and the performance of the proposed controller was finally verified by the simulation. The results indicated that the improved PID controller took the characteristics of fast response, small overshoot, and good anti-interference.