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基于遗传算法的风力机叶片优化设计及模态分析
发表时间：2015-11-30 浏览量：1790 下载量：568
| 全部作者： | 陈文朴，李春，叶舟，杨阳 |
| 作者单位： | 上海理工大学能源与动力工程学院；上海理工大学上海市动力工程多相流动与传热重点实验室 |
| 摘 要： | 采用遗传算法（genetic algorithm，GA）全局优化叶片弦长及扭角分布规律，以全年发电量最大为目标， 得到叶片外形参数。创建2 种叶片模型，并利用ANSYS 以各叶片的最佳风轮转速为预应力条件进行模态分析。 结果表明：与Wilson 理论设计的叶片相比，在相同的额定功率下，依据GA 设计的叶片弦长、扭角和叶根弯 矩更小，质量更轻；在各自最佳风轮转速下，依据GA 设计的叶片2 阶和5 阶固有频率更高，挥舞方向等效刚 度增加并能有效改善扭振振动。 |
| 关 键 词： | 风能；风力机；叶片优化；遗传算法；模态分析 |
| Title： | Optimal design of wind turbine blade based on genetic algorithm and modal analysis |
| Author： | CHEN Wenpu, LI Chun, YE Zhou, YANG Yang |
| Organization： | School of Energy and Power Engineering, University of Shanghai for Science and Technology; Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, University of Shanghai for Science and Technology |
| Abstract： | This study get the optimal blade design parameters through the global optimization of the blade chord and twist angle distribution of genetic algorithm (GA) with the goal of maximizing annual generating capacity. The two blade models were established and the modal analysis was carried out based on the prestressing of the optimum rotor speed of each blade using ANSYS. The results show that, compared with Wilson’s blade, the chords, twist angles and weights calculated by GA are smaller than Wilson’s in the same rated power and wind speed. Furthermore, the second and fifth order natural frequency of GA’s blade is higher than Wilson’s blade in each optimum rotor speed, and the equivalent stiffness of flap wise and torsional vibration is better as well. |
| Key words： | wind energy; wind turbine; blade optimization; genetic algorithm; modal analysis |
| 发表期数： | 2015年11月第22期 |
| 引用格式： | 陈文朴，李春，叶舟，等. 基于遗传算法的风力机叶片优化设计及模态分析[J]. 中国科技论文在线精品论文，2015，8（22）：2402-2409. |
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