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| Pulp Consistency Control Algorithm Based on Single Neuron Adaptive PSD |
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| DOI： |
| Key Words:pulp consistency PSD algorithm single neuron gain scheduling control s-function |
| Fund Project:江苏高校优势学科建设工程资助项目(PAPD)。 |
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| Abstract:Pulp consistency fluctuates unpredictably all the time. At the same time, the stable pulp consistency is an important factor to guarantee the quality of the paper. The model of pulp consistency is characterized by uncertainty, large time-delay and time-variation, so conventional PID is difficult to obtain good control quality. Therefore, the algorithm based on single neuron adaptive PSD was proposed. In this paper, the PSD algorithm from the identification free control algorithm was added to improve the response rate of single neuron PID control. Its gain was with self-tuning and thus a model-independent and more real-time adaptive fast algorithm was developed. In the Matlab, the s-function of this algorithm was called to simulink dynamically. The results indicated that comparing with conventional PID control and ordinary single neuron PID control , the control algorithm had better response rate, stronger interference rejection and the greater adaptive ability. The real-time control on THJSK-1 experiment platform indicated this control algorithm was feasible. |
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