| 基于单神经元自适应PID的煤气混合解耦控制 |
| |
| 引用本文： | 徐少川,王琳琳.基于单神经元自适应PID的煤气混合解耦控制[J].鞍山钢铁学院学报,2010(2):145-148. |
| |
| 作者姓名： | 徐少川 王琳琳 |
| |
| 作者单位： | [1]辽宁科技大学电子与信息工程学院,辽宁鞍山114051 [2]鞍山技师学院,辽宁鞍山114001 |
| |
| 摘 要： | 针对煤气混合加压过程中混合煤气压力和热值控制问题具有强耦合、非线性和较大时滞的特点,利用单神经元自适应PID控制器具有参数自学习能力,提出一种单神经元自适应PID解耦控制方法。仿真结果证明了设计方案比传统的控制方案具有较好的动态性能,验证该方法的可行性。
|
| 关 键 词： | 混合煤气 模糊控制 单神经元 |
Decoupling control of gas mixing with adaptive PID of single neuron |
| |
| XU Shao-chuan,WANG Lin-lin.Decoupling control of gas mixing with adaptive PID of single neuron[J].Journal of Anshan Institute of Iron and Steel Technology,2010(2):145-148. |
| |
| Authors: | XU Shao-chuan WANG Lin-lin |
| |
| Affiliation: | 1.School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China;2.Anshan Technician College,Anshan 114001,China) |
| |
| Abstract: | The gas mixing pressuring and calorific value control of gas mixing process have the characteristics of strong coupling,nonlinear,and large time-varying.By using the parameter self-learning with adaptive PID controller of single neuron,a decoupling control method with adaptive PID of single neuron is proposed.The simulation results show that this design scheme has a better dynamic performance than traditional PID scheme to verify the feasibility of this method. |
| |
| Keywords: | mixing gas fuzzy control single neuron |
| 本文献已被 维普 等数据库收录！ |
