| 基于BP神经网络自适应PID的负载控制系统 |
| |
| 引用本文： | 刘俊,卢建刚. 基于BP神经网络自适应PID的负载控制系统[J]. 控制工程, 2009, 0(Z2) |
| |
| 作者姓名： | 刘俊 卢建刚 |
| |
| 作者单位： | 浙江大学工业控制技术国家重点实验室; |
| |
| 基金项目： | 国家自然科学基金资助项目(60736021);;国家高技术研究发展计划基金资助项目(2006AA04Z184);;浙江省重大科技计划基金资助项目(2006C11066) |
| |
| 摘 要： | 针对常规PID控制器无法满足时变负载测试系统的快速性和精度要求,设计基于改进BP神经网络的自适应PID控制器;利用西门子S7-200 PLC实现PID算法和神经网络算法,成功实现测试系统对工具进行空载、轻载、重载、瞬间加载等测试;并在BOSCH的圆锯变负载测试系统中得到应用。
|
| 关 键 词： | 自适应PID S7-200 PLC BP神经网络 负载测试系统 |
Load Testing System Based on BP Neural Networks Self-adaptive PID Controller |
| |
| LIU Jun,LU Jian-gang. Load Testing System Based on BP Neural Networks Self-adaptive PID Controller[J]. Control Engineering of China, 2009, 0(Z2) |
| |
| Authors: | LIU Jun LU Jian-gang |
| |
| Affiliation: | State Key Laboratory of Industrial Control Technology;Zhejiang University;Hangzhou 310027;China |
| |
| Abstract: | To the problem that the common PID controller can satisfy the rapidity and accuracy of a time variation load testing system,the self-adaptive PID controller based on BP neural networks is designed.Siemens S7-200 PLC to achieve PID algorithm and neural networks algorithm.The tests are successfully impletmedited with different mode in no-load,light-load,heavy-load,instant-load.And its application to BOSCH fretsaw test platform shows its effective ness. |
| |
| Keywords: | self-adaptive PID S7-200 PLC BP neural networks load testing system |
| 本文献已被 CNKI 等数据库收录！ |
