倾转旋翼机总体参数优化设计
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摘要
总体参数选择是综合了多个学科的复杂难题,在倾转旋翼机初步设计阶段,需要根据设计目标,构造出合理的优化模型,采用有效的工程数值计算方法及优化策略,来完成倾转旋翼机总体参数优化设计,提供满足设计要求的优化方案,为进一步详细设计奠定基础。
     为了解决倾转旋翼机总体方案设计周期长、效率低、分析模型复杂等不利因素,本文引入了基于蚁群算法的倾转旋翼机总体参数优化设计。作为一种新兴的群智能算法,蚁群算法具有高效性与全局性,较强的鲁棒性,已成功解决了许多工程优化问题。本文利用数值方法建立了倾转旋翼机气动模型,以此为基础分别建立了倾转旋翼机飞行性能计算和重量计算的数学模型,然后采用连续域蚁群算法,以倾转旋翼机总体参数作为设计变量,飞行性能、结构尺寸和重量效率作为约束条件,取直升机模式下悬停效率和飞机模式下换算生产率的线性加权函数作为目标函数,对倾转旋翼机总体参数进行了优化设计。优化结果与工程算例及样机数据进行了比较,验证了蚁群算法在解决倾转旋翼机总体参数优化问题的有效性和可靠性,同时还进行了参数的敏感性分析,得到了该优化模型下的总体参数选择最优方案,为该类问题的研究提供了新的思路。
The selecting of general parameters is a complex problem including many different disciplines. During the preliminary design 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 engineering 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 efficiency, 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, robustness, 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 calculated 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 constraints 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 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 analysis 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.
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