摘要
基于神经元的自组织自适应学习特点,提出了适用于喂丝机自适应速度控制的神经元控制器.此方法的显著特点为不需要系统建模,且运行简单,并且有较强的鲁棒性,非常适用于工程实际应用.仿真结果验证了该控制方案的有效性.
The paper proposed a neuron self-adaptive speed control system based on the neuron＇ s self-organi- zation and self-study characteristic. Not needing system modeling, simple operation and robustness are this method＇ s remarkable characteristics. The method is very suitable for project practice. The simulation result proves the control system＇ s validity.
出处
《哈尔滨理工大学学报》
CAS
2008年第2期8-10,共3页
Journal of Harbin University of Science and Technology
基金
江苏省重大工业攻关项目(98011-3)
关键词
喂丝机
神经元网络
自适应控制
wire feeding machine
neural network
self-adaptive
