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Based On Genetic Algorithm Optimized Design And Modeling Of Wind Turbine Blades

Posted on:2014-09-10Degree:MasterType:Thesis
Country:ChinaCandidate:X Q ChenFull Text:PDF
GTID:2252330401476395Subject:Computational Mathematics
Abstract/Summary:PDF Full Text Request
In recent years, the "energy problem" has become a widespread concern,Around theworld is of great importance to the development of renewable energy,We know that windenergy is a very important renewable energy,wind energy as a "green energy",due to itsinexhaustible, inexhaustible, and so has been a very rapid development in recent years, manycountries in the worldregard the development and use of wind energy as an important sourceof energy.As the country of consumption in China in recent years,due to strong investmentand technical support,wind power industry has also been a rapid development.In this context,this paper is mainly on the shape of the fan blades in the wind power do t he research anddesign, and corrugated bionic fan blade optimization model.Chapter1is an introduction. In this chapter,irst introduced the world wind power statusand the status quo of China’s wind power industry development,followed by the researchtopics of significance in this article and this article.Chapter II of this article for the prior knowledge and the basic principles andassumptions. Focuses on the optimization problem of some of the basic concepts and thebasic steps of the genetic algorithm and key coding techniques,then released fan blade designcorrugated Less adhesion and resistance principle to do a detailed introduction.Chapter bionic mathematical description of the fan blade surface and corrugated surfacessurface area calculation.Firstly,biomimetic analogy scarabs Coleoptera create a mathematicaldescription of the formula of the corrugated surfaces,and then solve the blade airflow thecontact area of the corrugated surface.The fourth non-convex optimization model and genetic algorithm.In this chapter, thearea formula of the prev-ious chapter, and the actual background of the research questions,theestablishment of a non-convex optimiza-tion model to determine the range of theparameter,and then with the apparent advantage of genetic algorithm in the global solution tosolve complex optimization problems non-convex and nonsmooth model optimizationsolution,the final design of the the visbreaking function under different wind model surfacesbionic blades.Chapter real count results analyzed and summarized. Given first real count thebionic blade length and width, respectively, given the bionic fan blade part of the width of thefront plane,and then obtained three airflow type bearing capacity,and the relationship of thecontact area of the air flow and fan blades,resulting in the optimization model of the thecorrugated surfaces bionic fan blade.
Keywords/Search Tags:Mathematical modeling, optimization, genetic algorithm, bionic
PDF Full Text Request
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