Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm
The pH value of liquid fertilizer is a key factor affecting crop growth, so it is necessary to regulate its pH value. However, the pH regulation system has the characteristics of nonlinearity and time lag, which makes it difficult for the conventional controller to achieve accurate pH control. By an...
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/12/6162 |
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| author | Zihao Meng Lixin Zhang He Li Runmeng Zhou Haoran Bu Yongchao Shan Xiao Ma Ruihao Ma |
| author_facet | Zihao Meng Lixin Zhang He Li Runmeng Zhou Haoran Bu Yongchao Shan Xiao Ma Ruihao Ma |
| author_sort | Zihao Meng |
| collection | DOAJ |
| description | The pH value of liquid fertilizer is a key factor affecting crop growth, so it is necessary to regulate its pH value. However, the pH regulation system has the characteristics of nonlinearity and time lag, which makes it difficult for the conventional controller to achieve accurate pH control. By analyzing the regulation process, this paper designs a BP-PID-Smith prediction compensator, which compensates for the error between the actual model and the theoretical model and improves the control accuracy. The pH regulation system with STM32F103ZET6 as the control core was also developed, and the performance tests were carried out under different flow rates to compare with the regulation system of PID-Smith and Smith algorithms. The experimental results showed that the maximum overshoot of the BP-PID-Smith prediction compensator was 0.27% on average, and the average adjustment time for pH value reduction from 7.5 to 6.8 was 71.39 s, which had good practicality and robustness to meet the actual control demand. |
| first_indexed | 2024-03-10T00:28:28Z |
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| language | English |
| last_indexed | 2024-03-10T00:28:28Z |
| publishDate | 2022-06-01 |
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| spelling | doaj.art-46944a10621f41b3b10e73b7148ed8012023-11-23T15:28:53ZengMDPI AGApplied Sciences2076-34172022-06-011212616210.3390/app12126162Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation AlgorithmZihao Meng0Lixin Zhang1He Li2Runmeng Zhou3Haoran Bu4Yongchao Shan5Xiao Ma6Ruihao Ma7School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaSchool of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, ChinaThe pH value of liquid fertilizer is a key factor affecting crop growth, so it is necessary to regulate its pH value. However, the pH regulation system has the characteristics of nonlinearity and time lag, which makes it difficult for the conventional controller to achieve accurate pH control. By analyzing the regulation process, this paper designs a BP-PID-Smith prediction compensator, which compensates for the error between the actual model and the theoretical model and improves the control accuracy. The pH regulation system with STM32F103ZET6 as the control core was also developed, and the performance tests were carried out under different flow rates to compare with the regulation system of PID-Smith and Smith algorithms. The experimental results showed that the maximum overshoot of the BP-PID-Smith prediction compensator was 0.27% on average, and the average adjustment time for pH value reduction from 7.5 to 6.8 was 71.39 s, which had good practicality and robustness to meet the actual control demand.https://www.mdpi.com/2076-3417/12/12/6162water and fertilizer integrationpH adjustmentBP-PID-Smith algorithmestimated compensation |
| spellingShingle | Zihao Meng Lixin Zhang He Li Runmeng Zhou Haoran Bu Yongchao Shan Xiao Ma Ruihao Ma Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm Applied Sciences water and fertilizer integration pH adjustment BP-PID-Smith algorithm estimated compensation |
| title | Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm |
| title_full | Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm |
| title_fullStr | Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm |
| title_full_unstemmed | Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm |
| title_short | Design and Application of Liquid Fertilizer pH Regulation Controller Based on BP-PID-Smith Predictive Compensation Algorithm |
| title_sort | design and application of liquid fertilizer ph regulation controller based on bp pid smith predictive compensation algorithm |
| topic | water and fertilizer integration pH adjustment BP-PID-Smith algorithm estimated compensation |
| url | https://www.mdpi.com/2076-3417/12/12/6162 |
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