摘要
针对常规型PID作用下的控制器参数改变的不确定性,将BP-NN网络技术和Fuzzy模糊理论引进PID式控制器中,组成了BP神经网络技术的模糊规则的PID式控制器。经过对数学模型的仿真实例的对照和研究,发现基于BP神经网络和模糊技术的PID控制器能改善动态性能,控制效果好。
For conventional type under the action of the PID controller parameter change of uncertainty,the BP- NN network technology and Fuzzy theory to introduce Fuzzy PID controller,Fuzzy rules of the BP neural network technology of the PID controller. Through simu-lation examples of mathematical model of comparison and research,found that based on BP neural network and PID controller can improve the dynamic performance of fuzzy technology,good control effect.
出处
《机电产品开发与创新》
2016年第4期81-83,共3页
Development & Innovation of Machinery & Electrical Products
基金
电力推进船舶机电系统的多尺度耦合与优化控制方法研究(批准号:51579200)