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| Pulp Consistency Control Based on Immune-single Neuron Algorithm |
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| DOI：10.11981/j.issn.1000-6842.2016.03.30 |
| Key Words:pulp consistency； immune mechanism； single neuron PID algorithm； gain scheduling control |
| Fund Project:江苏高校优势学科建设工程资助项目(PAPD)。 |
| Author Name | Affiliation | | 黄亚南 | 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 张爱娟 | 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 胡慕伊* | 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 |
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| Abstract: |
| The gain K of single neuron PID algorithm lacks self adjustment ability and thus the dynamic response time is longer. Aiming at this problem, a new algorithm combining immune mechanism and single neuron method was proposed. T cell immune tuning mechanism could regulate the gain of single neuron PID algorithm. So the gain had the ability of self-adjustment. The system dynamic response performance was proved and the learning rate of single neuron PID algorithm was accelerated. Simulation result showed that the new algorithm could overcome the shortcomings in pulp consistency control which was characterized by large time-lag and time-varying. It also could satisfy the accurate and rapid control requirement of pulp consistency. Compared to single neuron PID algorithm, the new algorithm had the obvious advantage in the system response rate. At the same time, it succeeded the advantages of single neuron PID algorithm which had the ability of strong anti-interference, self learning and self adaptation. The real-time control on THJSK-1 experiment platform indicated this control algorithm was feasible. |
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