Optimum Design of Helicopter Rotor Blade by Genetic Algorithms
碩士 === 淡江大學 === 航空太空工程學系 === 90 === This study presents an application of Genetic Algorithms for a helicopter rotor blade design through an unsteady wake dynamics and aerodynamic coupling system. The purpose of this study is to obtain the optimal configuration of the blade which to minimize the powe...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/83934064289819938794 |
| Summary: | 碩士 === 淡江大學 === 航空太空工程學系 === 90 === This study presents an application of Genetic Algorithms for a helicopter rotor blade design through an unsteady wake dynamics and aerodynamic coupling system. The purpose of this study is to obtain the optimal configuration of the blade which to minimize the power output and also maintain the lift force in different flight condition. Based on the evolution theory in the biology─survived of the fitness, Genetic Algorithms find a near-global optimization solution by using three basic operators: reproduction, crossover and mutation. The unsteady wake dynamic system is simulated by the Peters finite state inflow theory. The blade element theory and lifting-line theory are used to formulate the aerodynamic force for a blade. The chord length and twist angle will be implemented as design variables simultaneously. The nonlinear coupling effect of both type variables increases the difficulty and complexity of the optimal procedures. The advantage of Genetic Algorithms is that it have multi-point search instead of one-point search to find the global optimum in a space and avoid to obtain the local optimum.
The optimum design and performance analysis of BELL UH-1H helicopter rotor blade will be discussed in the numerical examples. In order to demonstrate the advantage of Genetic Algorithms, the final result and optimal solution will be compared with other references.
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