全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
航空学报  2013 

基于改进差分进化算法的飞行控制律评估方法

DOI: 10.7527/S1000-6893.2013.0230, PP. 1261-1268

Keywords: 飞行控制律,差分进化算法,混沌理论,高斯扰动,参数摄动

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对基本差分进化(DE)算法收敛慢、易陷入局部最优的问题,提出了基于混沌理论(CT)与高斯扰动的DE算法,进而通过典型测试函数仿真证明了该方法在收敛速度与全局搜索能力方面均优于基本型和其他改进型DE算法。在此基础上构建了基于DE算法的飞行控制律评估流程与实施步骤。实例表明,该方法克服了传统评估方法的缺陷,可在全飞行包线范围内及所有可预测参数摄动情况下对飞行控制律进行快速、准确的评估。

References

[1]  Liu L, Che J, Tang Q, et al. Study on the advanced approaches for clearance of modern flight control law. Flight Dynamics, 2007, 25(1):1-4. (in Chinese) 刘林, 车军, 唐强, 等. 现代飞行控制律评估与确认先进方法研究.飞行力学, 2007, 25(1): 1-4.
[2]  Iqbal S. Analysis of flight test manoeuvres using bifurcation analysis methods in support of flight clearance. AIAA Guidance, Navigation, and Control Conference, 2003: 1-16.
[3]  Lowenberg M. Aircraft control law clearance analysis using bifurcation and continuation methods. AIAA Guidance, Navigation, and Control Conference, 2003: 1008-1022.
[4]  Chriatopher F, Andras V, Samir B, et al. Advanced techniques for clearance of flight control laws. Berlin: Springer-Verlag, 2002: 313-333.
[5]  Selier M, Korte U, Fielding C, et al. New analysis techniques for clearance of flight control laws. AIAA Guidance, Navigation and Control Conference Exhibit, 2003, 976-984.
[6]  Glover K, Vinnicombe G, Papageorgiou G. Guaranteedmulti-loop stability margins and the gapmetric. The 38th IEEE Conference on Decision and Control, 2000: 4084-4085.
[7]  Liu L, Ji D H, Tang Q. v-gap metric and its application to clearance of flight control laws. Acta Aeronautica et Astronautica Sinica, 2007, 28(4): 930-934. (in Chinese) 刘林, 纪多红, 唐强. ν-gap度量及其在飞行控制律评估中的应用. 航空学报, 2007, 28(4): 930-934.
[8]  Liu L. Advanced verification and clearance technique for modern flight. Beijing: National Defense Industry Press, 2010: 156-157. (in Chinese) 刘林.现代飞机控制系统的评估与确认方法.北京:国防工业出版社, 2010: 156-157.
[9]  Wang Y J, Zhang J S. Global optimization by an improved differential evolutionary algorithm. Applied Mathematics and Computation, 2007, 188(1): 669-680.
[10]  Noman N, Iba H. Enhancing differential evolution performance with local search for high dimensional function optimization. Proceedings of the 2005 Conference on Genetic and Evolutionary Computation. Washington, D.C.: ACM, 2005: 967-974.
[11]  Noman N, Iba H. Accelerating differential evolution using an adaptive local search. IEEE Transactions on Evolutionary Computation, 2008, 12(1):107-125.
[12]  Tan Y, Tan G Z, Tu L. Differential evolution algorithm with local search strategy. Computer Engineering and Applications, 2009, 45(7): 56-58. (in Chinese) 谭跃, 谭冠政, 涂立. 具有局部搜索策略的差分进化算法. 计算机工程与应用, 2009, 45(7): 56-58.
[13]  Caponetto R, Fortuna L, Fazzino S, et al. Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 2003, 7(3): 289-304.
[14]  Sun C F. Differential evolution and its application on the optimal scheduling of electrical power system. Wuhan: Huazhong University of Science and Technology, 2010. (in Chinese) 孙成富. 差分进化算法及其在电力系统调度优化中的应用研究. 武汉:华中科技大学, 2010.
[15]  Tian D P. An adaptive genetic algorithm combined with chaos searching. Journal of Shanxi University of Science & Technology, 2008, 6(26): 65-71.
[16]  Lv Q X, Liu L, Tang Q. Robust stability clearance of flight control laws in all flight envelope. Flight Dynamics, 2008, 26(5): 32-39. (in Chinese) 吕全喜, 刘林, 唐强. 飞行控制律全包线鲁棒性稳定性评估.飞行力学, 2008, 26(5): 32-39.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133