| 基于单神经元自适应PID的煤气混合解耦控制 |
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| 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]. 鞍山科技大学学报, 2010, 33(2): 145-148 |
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| 作者姓名： | 徐少川 王琳琳 |
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| 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 |
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| 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。
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| 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 |
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| XU Shao-chuan,WANG Lin-lin. Decoupling control of gas mixing with adaptive PID of single neuron[J]. Journal of Anshan University of Science and Technology, 2010, 33(2): 145-148 |
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| Authors: | XU Shao-chuan WANG Lin-lin |
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| Affiliation: | XU Shao-chuan1,WANG Lin-lin2(1.School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China,2.Anshan Technician College,Anshan 114001,China) |
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| 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. |
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| Keywords: | mixing gas fuzzy control single neuron |
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