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| Optimized Immune Research for Oilfield Wastewater Treatment in pH value Control |
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Received:January 05, 2016
Revised:January 15, 2016
Accepted:January 18, 2016
Published Online:August 31, 2016
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| DOI： |
| KeyWord:YU Yadi, Tai Guangfeng, Wan yongbo, Wu Meng, LU Yaping |
| Author | Institution |
| yuyadi |
Beijing General Research Institute of mining and metallurgy |
| Tai Guangfeng |
Beijing General Research Institute of mining and metallurgy |
| Wan Yongbo |
Beijing General Research Institute of mining and metallurgy |
| Wu Meng |
Beijing General Research Institute of mining and metallurgy |
| Lu Yaping |
Beijing General Research Institute of mining and metallurgy |
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| Abstract: |
| In order to overcome the instability, heavy disturbance and time-delay in pH value control of oilfield waste water treatment, optimized immune control strategy is applied in this research. As RBF neural network is used to optimize the parameters of controller, self-adjustment and auto-tuning are obtained in the controlled process. In comparison with ITAE（Integral Time Absolute Error）based PID method, the proposed method achieves satisfied result in disturbance-rejection, stability and set-point response. |
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