OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM
In order to improve the energy utilization rate of the vertical axis variable angle of attack turbine,a mathematical optimization model of the blade declination angle variation rule was established,using the blade declination angle change with the position angle as the design parameter,the turbine e...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2021-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.013 |
| _version_ | 1797767637283897344 |
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| author | WANG YongDing QIAN YingJuan |
| author_facet | WANG YongDing QIAN YingJuan |
| author_sort | WANG YongDing |
| collection | DOAJ |
| description | In order to improve the energy utilization rate of the vertical axis variable angle of attack turbine,a mathematical optimization model of the blade declination angle variation rule was established,using the blade declination angle change with the position angle as the design parameter,the turbine energy utilization rate as the objective function,and genetic algorithm Combined with the method of sequential quadratic programming,the optimization calculation is carried out,and on this basis,the most suitable blade declination variation law is obtained. The deflection angle of the cycloid turbine at different speed ratios is optimized to obtain the optimized declination law. The results show that the energy utilization rate of the hydroturbine is better than that of the original cycloid turbine under the declination law optimized by the hybrid genetic algorithm. The ratio has improved. |
| first_indexed | 2024-03-12T20:42:41Z |
| format | Article |
| id | doaj.art-f8259f15324b4dc5a4797765a8a70110 |
| institution | Directory Open Access Journal |
| issn | 1001-9669 |
| language | zho |
| last_indexed | 2024-03-12T20:42:41Z |
| publishDate | 2021-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj.art-f8259f15324b4dc5a4797765a8a701102023-08-01T07:53:33ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692021-01-014384985530611285OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHMWANG YongDingQIAN YingJuanIn order to improve the energy utilization rate of the vertical axis variable angle of attack turbine,a mathematical optimization model of the blade declination angle variation rule was established,using the blade declination angle change with the position angle as the design parameter,the turbine energy utilization rate as the objective function,and genetic algorithm Combined with the method of sequential quadratic programming,the optimization calculation is carried out,and on this basis,the most suitable blade declination variation law is obtained. The deflection angle of the cycloid turbine at different speed ratios is optimized to obtain the optimized declination law. The results show that the energy utilization rate of the hydroturbine is better than that of the original cycloid turbine under the declination law optimized by the hybrid genetic algorithm. The ratio has improved.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.013Vertical axis turbine;Deflection optimization;Sequence quadratic program（SQP）;Genetic algorithm |
| spellingShingle | WANG YongDing QIAN YingJuan OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM Jixie qiangdu Vertical axis turbine;Deflection optimization;Sequence quadratic program（SQP）;Genetic algorithm |
| title | OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM |
| title_full | OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM |
| title_fullStr | OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM |
| title_full_unstemmed | OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM |
| title_short | OPTIMIZATION OF BLADE DEFLECTION BASED ON HYBRID GENETIC ALGORITHM |
| title_sort | optimization of blade deflection based on hybrid genetic algorithm |
| topic | Vertical axis turbine;Deflection optimization;Sequence quadratic program（SQP）;Genetic algorithm |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.013 |
| work_keys_str_mv | AT wangyongding optimizationofbladedeflectionbasedonhybridgeneticalgorithm AT qianyingjuan optimizationofbladedeflectionbasedonhybridgeneticalgorithm |