Adaptive Cutting Control for Roadheaders Based on Performance Optimization
Aiming at addressing the problems of high specific energy consumption for cutting and slow response to the change of hardness in the control of existing mining roadheaders, an adaptive variable speed cutting control method based on cutting performance optimization is proposed by analyzing the workin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/9/3/46 |
| _version_ | 1797395416435654656 |
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| author | Qingyun Liu Chao Lu Tao Liu Zhangbao Xu |
| author_facet | Qingyun Liu Chao Lu Tao Liu Zhangbao Xu |
| author_sort | Qingyun Liu |
| collection | DOAJ |
| description | Aiming at addressing the problems of high specific energy consumption for cutting and slow response to the change of hardness in the control of existing mining roadheaders, an adaptive variable speed cutting control method based on cutting performance optimization is proposed by analyzing the working principle of roadheaders. Firstly, cylinder pressure and motor current are invoked as the criteria to judge load changes. Particle swarm optimization is utilized to optimize the cutting parameters under different impedance. Then, the relation between cutting speed, motor current and cylinder pressure is established by using fuzzy neural network to train cutting parameters and identification parameters under different conditions. Finally, the vector control of motor and electro-hydraulic servo valve is used to control the cutting speed. The results show that the cutting unit can adapt to different load signals and always keep the roadheader in the optimal working state. The rotation speed regulation of the cutting head reaches the stable state after 0.05 s, with the overshoot of 1.42%. The swing speed regulation of the cutting head reaches the stable state after 1 s, with the overshoot of 5.3%. Conclusions provide a basis for improving the cutting efficiency and prolonging the working life of the roadheader. |
| first_indexed | 2024-03-09T00:34:14Z |
| format | Article |
| id | doaj.art-18367fb158e0432d9f56318f84a29dbd |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-09T00:34:14Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-18367fb158e0432d9f56318f84a29dbd2023-12-11T18:15:08ZengMDPI AGMachines2075-17022021-02-01934610.3390/machines9030046Adaptive Cutting Control for Roadheaders Based on Performance OptimizationQingyun Liu0Chao Lu1Tao Liu2Zhangbao Xu3School of Mechanical Engineering, Anhui University of Technology, Anhui 243000, ChinaSchool of Mechanical Engineering, Anhui University of Technology, Anhui 243000, ChinaSchool of Mechanical Engineering, Anhui University of Technology, Anhui 243000, ChinaSchool of Mechanical Engineering, Anhui University of Technology, Anhui 243000, ChinaAiming at addressing the problems of high specific energy consumption for cutting and slow response to the change of hardness in the control of existing mining roadheaders, an adaptive variable speed cutting control method based on cutting performance optimization is proposed by analyzing the working principle of roadheaders. Firstly, cylinder pressure and motor current are invoked as the criteria to judge load changes. Particle swarm optimization is utilized to optimize the cutting parameters under different impedance. Then, the relation between cutting speed, motor current and cylinder pressure is established by using fuzzy neural network to train cutting parameters and identification parameters under different conditions. Finally, the vector control of motor and electro-hydraulic servo valve is used to control the cutting speed. The results show that the cutting unit can adapt to different load signals and always keep the roadheader in the optimal working state. The rotation speed regulation of the cutting head reaches the stable state after 0.05 s, with the overshoot of 1.42%. The swing speed regulation of the cutting head reaches the stable state after 1 s, with the overshoot of 5.3%. Conclusions provide a basis for improving the cutting efficiency and prolonging the working life of the roadheader.https://www.mdpi.com/2075-1702/9/3/46performance optimizationadaptivefuzzy neural networksSVPWMservo valve |
| spellingShingle | Qingyun Liu Chao Lu Tao Liu Zhangbao Xu Adaptive Cutting Control for Roadheaders Based on Performance Optimization Machines performance optimization adaptive fuzzy neural networks SVPWM servo valve |
| title | Adaptive Cutting Control for Roadheaders Based on Performance Optimization |
| title_full | Adaptive Cutting Control for Roadheaders Based on Performance Optimization |
| title_fullStr | Adaptive Cutting Control for Roadheaders Based on Performance Optimization |
| title_full_unstemmed | Adaptive Cutting Control for Roadheaders Based on Performance Optimization |
| title_short | Adaptive Cutting Control for Roadheaders Based on Performance Optimization |
| title_sort | adaptive cutting control for roadheaders based on performance optimization |
| topic | performance optimization adaptive fuzzy neural networks SVPWM servo valve |
| url | https://www.mdpi.com/2075-1702/9/3/46 |
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