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| Application of Fractional Order PID Controller Based on Neural Network to Pulp Consistency Control System |
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| DOI：10.11981/j.issn.1000-6842.2016.04.44 |
| Key Words:pulp consistency； fractional order PID controller； neural network； self-tuning |
| Fund Project:本课题得到国家国际科技合作项目(2010DFB43660)资助。 |
| Author Name | Affiliation | | 单文娟1 | 1.陕西科技大学轻工科学与工程学院,陕西西安,710021 | | 汤 伟2 | 2.陕西科技大学电气与信息工程学院,陕西西安,710021 | | 王孟效3 | 3.陕西西微测控工程有限公司,陕西咸阳,712099 |
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| Abstract: |
| Since fractional order PID inherits the advantages of traditional PID and has better control quality and higher robust, a fractional order PID controller based on artificial neural network was proposed and applied in pulp consistency control system. Using fractional order PID instead of the traditional PID, a self-tuning PID controller with five control parameters was realized by using parameter adjustment strategy of neural network. The simulation results showed that neural network fractional order PID controller had higher controlling accuracy and realized more stable control of pulp consistency than traditional PID controller. Control curve proved that the new controller was feasible and had popularizing value. |
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