基于分布估计算法的弹性飞翼飞行器多操纵面控制分配

doi:10.11772/j.issn.1001-9081.2014.10.3048

计算机应用 ›› 2014, Vol. 34 ›› Issue (10): 3048-3053.DOI: 10.11772/j.issn.1001-9081.2014.10.3048

基于分布估计算法的弹性飞翼飞行器多操纵面控制分配

赵均伟,赵建军,杨利斌

海军航空工程学院兵器科学与技术系，山东烟台 264001

收稿日期:2014-04-24 修回日期:2014-06-29 出版日期:2014-10-01 发布日期:2014-10-30
通讯作者: 赵均伟
作者简介:赵均伟（1984-），男，浙江仙居人，〖BP(〗助教，〖BP)〗博士研究生，主要研究方向：无人机任务规划；
赵建军（1965-），男，江苏南通人，教授，博士，主要研究方向：舰空武器标校；
杨利斌（1978-），男，山西太原人，讲师，硕士，主要研究方向：导弹指控系统。
基金资助:
国家863计划项目

Control allocation for fly-wing aircraft with multi-control surfaces based on estimation of distribution algorithm

ZHAO Junwei,ZHAO Jianjun,YANG Libin

Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China

Received:2014-04-24 Revised:2014-06-29 Online:2014-10-01 Published:2014-10-30
Contact: ZHAO Junwei

摘要/Abstract

摘要：

针对弹性飞翼飞行器多操纵面控制分配问题，提出了衡量弹性震动的机振力指标，建立了完整的控制分配模型，提出了采用分布估计算法（EDA）对模型进行求解。首先进行舵面结构设计，分析各气动舵面的工作方式及控制能力，并依据气动数据中升降副翼、余度舵、副翼的舵面控制效率，进行舵面功能配置。在进行控制分配时，分析控制分配的主要性能指标，确立总体多目标优化评价函数，并结合等式和不等式约束条件。采用性能优越的EDA进行求解。通过建立概率模型来估计真实分布，在EDA的进化过程中，各个舵面会根据偏转效率进行分配，结合优化函数最终收敛到最优解。最后分析机翼气动弹性对系统静态操纵效能的影响。从不考虑气动弹性系统响应曲线和考虑气动弹性之后的系统响应曲线比较结果可以看出，有弹性情况下系统响应曲线超调量和过渡时间都减小，飞翼式飞行器飞行品质得到显著提高，优化之后系统效能提高了10%。仿真结果表明，EDA能够较好地解决控制分配问题，并能提高系统动态品质，验证了多操纵面控制分配模型和算法的有效性。

Abstract:

For the control allocation problem of flexible fly-wing aircraft with multi-control surfaces, the machine vibration force index was put forward to measure the elastic vibration. Total control allocation model was established, the superior performance of the Estimation of Distribution Algorithm (EDA) was used for solving the model. Firstly the rudder structure was designed, the way of work and control capability of every aerodynamic rudder were analyzed, and the rudder functional configuration was built in accordance with the rudder control efficiency of redundant rudder, elevator aileron and aileron rudder in aerodynamic data. During the control allocation, main performance indices of control allocation were analyzed, the overall multi-objective optimal evaluation function was established, which combined with the equality and inequality constraints, and solved by EDA. The true distribution was estimated by establishing a probability model, during the evolutionary process of EDA, the rudder would be allocated according to the deflection efficiency, the optimal solution was got by combining with the optimization function. At last, the impact of aero wing flexibility on static control performance of the system was analyzed. After considering aeroelasticity, the overshoot and transition time are decreases. The flying quality of flying wing aircraft is significantly improved, the system efficiency is improved by at least 10% after optimization. The simulation results show that the EDA can better solve the control allocation problem, and can improve the dynamic quality of the system, verifying the effectiveness of multi-control surfaces to control allocation.

中图分类号:

TP249
TP273

赵均伟赵建军杨利斌. 基于分布估计算法的弹性飞翼飞行器多操纵面控制分配[J]. 计算机应用, 2014, 34(10): 3048-3053.

ZHAO Junwei ZHAO Jianjun YANG Libin. Control allocation for fly-wing aircraft with multi-control surfaces based on estimation of distribution algorithm[J]. Journal of Computer Applications, 2014, 34(10): 3048-3053.

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基于分布估计算法的弹性飞翼飞行器多操纵面控制分配

Control allocation for fly-wing aircraft with multi-control surfaces based on estimation of distribution algorithm

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