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| Study on the Pressure Control of the Dryer in Paper Machine with Fuzzy PID Control Optimizing by Particle Swarm |
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| DOI：10.11981/j.issn.1000-6842.2017.04.42 |
| Key Words:vapor pressure; paper machine; particle swarm optimization; fuzzy control； PID control |
| Author Name | Affiliation | | 刘滨朝 | 陕西科技大学机电工程学院，陕西西安，710021 | | 李明辉* | 陕西科技大学机电工程学院，陕西西安，710021 |
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| Abstract: |
| Due to the steam pressure of high speed paper machine dryer is a control target with inertia and big delay characteristics, it is very difficult to establish its precise mathematical model, the fuzzy PID controller was designed and the PID parameters were adjusted online by fuzzy reasoning. However, the controller function could not quickly reach the steady state, because of the limitation and blindness of the expert experience as well as too many uncertain factors in fuzzy control, therefore firstly the quantization factor and scaling factor were offline iterative optimized by adding particle swarm optimization algorithm, then simulation application in dryer steam pressure control system through fuzzy PID controller was carried out. The simulation results showed that the fuzzy PID controller based on particle swarm optimization algorithm had stronger robustness and faster response than the traditional PID control, and had obvious superiority. |
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