基于遗传算法风力机叶片设计及模态分析
首发时间:2015-04-03
摘要:Wilson理论设计的风力机叶片参数往往为局部最优解,故采用遗传算法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。创建两种叶片模型,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理论设计叶片相比,在相同的额定功率下,遗传算法设计的叶片弦长、扭角和叶根弯矩更小,质量更轻;在各自最佳风轮转速下遗传算法设计的叶片二阶和五阶固有频率更高,挥舞方向等效刚度增加并能有效改善扭振振动。
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Optimal Design of Wind Turbine Blade Based on Genetic Algorithm and Modal Analysis
Abstract:In order to avoid local optimal solution of wind turbine blade designed by Wilson theory, defining the chord and twist angle distributions through Bezier curve and regulating the control points of Bezier curve to get the optimal blade design parameters through genetic algorithm which goal is maximizing annual generating capacity.The blade model was established using the design parameters and imported into ANSYS, to which modal analysis was conducted with prestressing of optimum rotor speed in different wind speed. Compared with Wilson's blade,results illustrate that the chords , twist angles and weights calculated by genetic algorithm are smaller than Wilson's in the same rated power and wind speed,and the root bending moment are reduced by 6.5%.The second and fifth order natural frequency of genetic algorithm'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.
Keywords: HAWT blade optimization genetic algorithm modal analysis
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