摘要
神经网络具有自学习、自调整、自适应能力。本文介绍了由PLC控制实现的神经网络PID自适应控制器。实验表明,该技术对于提高控制精度是行之有效的。具有在调速系统中推广应用的价值。
The neural networks possess the ability of self-learning, self-adjusting and self-adapting. The PID self-adaptive controller with neural network is implemented with the PLC in the rotate speed control system. The experiment shows that the control system accuracy is improved. This technique can be applied on various speed regulators.
出处
《微计算机信息》
北大核心
2007年第31期63-64,68,共3页
Control & Automation
基金
河北省教育厅自然科学基金项目(资助号:2005209)
