Research on adaptive control of self-moving temporary support based on fuzzy PID
To address the issue of poor adaptability of self-moving temporary supports and roofs during roadway excavation, an adaptive control method of self-moving temporary support based on fuzzy PID was proposed. The working principle of self-moving temporary support was analyzed. A pressure adjustment cir...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2024-12-01
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| Series: | Gong-kuang zidonghua |
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| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024070064 |
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| _version_ | 1832591116578324480 |
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| author | MA Changqing LI Feng HUANG Yubo MAO Junjie LI Xuyang WEI Xiangyu MA Xiaoyang |
| author_facet | MA Changqing LI Feng HUANG Yubo MAO Junjie LI Xuyang WEI Xiangyu MA Xiaoyang |
| author_sort | MA Changqing |
| collection | DOAJ |
| description | To address the issue of poor adaptability of self-moving temporary supports and roofs during roadway excavation, an adaptive control method of self-moving temporary support based on fuzzy PID was proposed. The working principle of self-moving temporary support was analyzed. A pressure adjustment circuit was added to the control circuit of the support hydraulic cylinder to tackle the problem of adapting to changes in roof pressure, and a self-moving temporary support force control system was established. To enable the self-moving temporary support force (i.e., the output force of the support hydraulic cylinder) to quickly and stably track the expected value, a fuzzy PID adaptive control system model was established to enable online adjustment of PID parameters. This achieved adaptive control of self-moving temporary support, enhancing its adaptability to special working conditions such as roof unevenness and inclination. Simulation models of traditional PID control and fuzzy PID adaptive control systems were built in Matlab/Simulink. The simulation results showed that the fuzzy PID-based adaptive control system demonstrated better tracking performance for the surrounding rock roof pressure compared to traditional PID control.The error of the temporary support adaptive control system following the surrounding rock pressure is 0.004 3, which is 86.11% lower than that of the traditional PID control. The adaptive control system of self-moving temporary support based on fuzzy PID stabilized at 0.12 s, whereas traditional PID control stabilized at 8.685 s, indicating a significant advantage in response speed for the fuzzy PID adaptive control. A displacement control system model of the support hydraulic cylinder was established in AMESim and jointly simulated with Matlab/Simulink. During leveling, data from adjacent support hydraulic cylinders were selected for research and analysis. Results indicated that the synchronization error between adjacent hydraulic cylinders was generally controlled within ±5×10−15 m, showing significant precise improvement over traditional PID control method. The curves exhibited uniform and gentle fluctuations with smaller amplitude fluctuation range. |
| format | Article |
| id | doaj-art-a2609400bd62457d81aef4149a330577 |
| institution | Kabale University |
| issn | 1671-251X |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj-art-a2609400bd62457d81aef4149a3305772025-01-23T02:17:44ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2024-12-015012768410.13272/j.issn.1671-251x.2024070064Research on adaptive control of self-moving temporary support based on fuzzy PIDMA Changqing0LI Feng1HUANG Yubo2MAO Junjie3LI Xuyang4WEI Xiangyu5MA Xiaoyang6Intelligent Equipment College, Shandong University of Science and Technology, Tai'an 271019, ChinaIntelligent Equipment College, Shandong University of Science and Technology, Tai'an 271019, ChinaSchool of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, ChinaIntelligent Equipment College, Shandong University of Science and Technology, Tai'an 271019, ChinaIntelligent Equipment College, Shandong University of Science and Technology, Tai'an 271019, ChinaIntelligent Equipment College, Shandong University of Science and Technology, Tai'an 271019, ChinaIntelligent Equipment College, Shandong University of Science and Technology, Tai'an 271019, ChinaTo address the issue of poor adaptability of self-moving temporary supports and roofs during roadway excavation, an adaptive control method of self-moving temporary support based on fuzzy PID was proposed. The working principle of self-moving temporary support was analyzed. A pressure adjustment circuit was added to the control circuit of the support hydraulic cylinder to tackle the problem of adapting to changes in roof pressure, and a self-moving temporary support force control system was established. To enable the self-moving temporary support force (i.e., the output force of the support hydraulic cylinder) to quickly and stably track the expected value, a fuzzy PID adaptive control system model was established to enable online adjustment of PID parameters. This achieved adaptive control of self-moving temporary support, enhancing its adaptability to special working conditions such as roof unevenness and inclination. Simulation models of traditional PID control and fuzzy PID adaptive control systems were built in Matlab/Simulink. The simulation results showed that the fuzzy PID-based adaptive control system demonstrated better tracking performance for the surrounding rock roof pressure compared to traditional PID control.The error of the temporary support adaptive control system following the surrounding rock pressure is 0.004 3, which is 86.11% lower than that of the traditional PID control. The adaptive control system of self-moving temporary support based on fuzzy PID stabilized at 0.12 s, whereas traditional PID control stabilized at 8.685 s, indicating a significant advantage in response speed for the fuzzy PID adaptive control. A displacement control system model of the support hydraulic cylinder was established in AMESim and jointly simulated with Matlab/Simulink. During leveling, data from adjacent support hydraulic cylinders were selected for research and analysis. Results indicated that the synchronization error between adjacent hydraulic cylinders was generally controlled within ±5×10−15 m, showing significant precise improvement over traditional PID control method. The curves exhibited uniform and gentle fluctuations with smaller amplitude fluctuation range.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024070064self-moving temporary supportsupport hydraulic cylindersupport force controlfuzzy pid adaptive controltemporary support columnadjacent hydraulic cylinder synchronization control |
| spellingShingle | MA Changqing LI Feng HUANG Yubo MAO Junjie LI Xuyang WEI Xiangyu MA Xiaoyang Research on adaptive control of self-moving temporary support based on fuzzy PID Gong-kuang zidonghua self-moving temporary support support hydraulic cylinder support force control fuzzy pid adaptive control temporary support column adjacent hydraulic cylinder synchronization control |
| title | Research on adaptive control of self-moving temporary support based on fuzzy PID |
| title_full | Research on adaptive control of self-moving temporary support based on fuzzy PID |
| title_fullStr | Research on adaptive control of self-moving temporary support based on fuzzy PID |
| title_full_unstemmed | Research on adaptive control of self-moving temporary support based on fuzzy PID |
| title_short | Research on adaptive control of self-moving temporary support based on fuzzy PID |
| title_sort | research on adaptive control of self moving temporary support based on fuzzy pid |
| topic | self-moving temporary support support hydraulic cylinder support force control fuzzy pid adaptive control temporary support column adjacent hydraulic cylinder synchronization control |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024070064 |
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