傾轉旋翼機總體參數(shù)優(yōu)化設計.pdf

1、南京航空航天大學碩士學位論文傾轉旋翼機總體參數(shù)優(yōu)化設計姓名：朱慶鎮(zhèn)申請學位級別：碩士專業(yè)：航空宇航科學與技術（直升機工程）指導教師：朱清華2011-03傾轉旋翼機總體參數(shù)優(yōu)化設計 iiAbstract The selecting of general parameters is a complex problem including many different disciplines. During the preliminary d

2、esign of tiltrotor aircraft, the suitable optimization model must be formulated in terms of the design objectives. The general parameters design optimization of tiltrotor aircraft is completed based on effective engineer

3、ing numerical methods and optimization tactic. The satisfied solutions can be obtained and are prepared for detail designs. Because the design of tiltrotor aircraft has unfavorable factors, such as long cycle, low effici

4、ency, and complexity of analysis model, ant colony algorithms is introduced to solve the issue. As a new swarm intelligence algorithm, ant colony algorithm has the merits of global superiority, high efficiency, robustnes

5、s, and successfully applied in many engineering problems. In this thesis, the aerodynamic model of tiltrotor aircraft is established by numerical methods. The flight performance and the weight of tiltrotor aircraft are c

6、alculated on this basis. Ant colony algorithms based on continuous space is used for general parameters optimization of tiltrotor aircraft. The design variables are the general parameters of tiltrotor aircraft. The const

7、raints are the flight performance, structure size and weight efficiency. The objective function is the multi-linear weighted objectives of figure of merit in helicopter mode and the conversion productivity in fixed-wing

8、mode. The optimization results and calculation example compared with the prototype, showed that the ant colony algorithm for this optimization problem is feasible and efficient. Finally, the parameter sensitivity analysi

9、s is conducted. The optimal general parameters of tiltrotor aircraft are obtained. The research method in the thesis provides a new way for this type of issue. Key word: tiltrotor aircraft, general parameters, ant colony