摘要
在经典控制器的基础上,设计了基于BP神经网络的PID控制器,采用BP神经网络训练方法,针对淀粉浓度控制的模型,用MATLAB软件工具进行了仿真,仿真结果证明了该方案的可行性。
Based on the classic controllers,a PID controller based on the BP neural network was designed. Adopting the training method of the BP neural network,a model of worktable driving for the density of starch production-line was simulated with MATLAB,and the results demonstrated the feasibility of the method.
出处
《安徽农业科学》
CAS
北大核心
2010年第13期6934-6936,共3页
Journal of Anhui Agricultural Sciences
