期刊文献+

基于改进差分进化算法的飞行控制律评估方法 被引量:4

Evaluation Method for Flight Control Law Based on Modified Differential Evolution Algorithm
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摘要 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。 An evaluation method for a fight control law based on modified differential evolution (DE) algorithm is provided. A new modified method based on chaos theory (CT) and Gaussian disturbance (GD) is proposed to deal with the problem of slow search and premature convergence in the basic DE algorithm. Compared with the basic DE and other DE methods, ex- perimental simulations show that the proposed method can not only significantly speed up the convergence, but also effec- tively solve the premature problem. And then the process to proceed the evaluation of the flight control law is put forward. Finally, the new method is applied to the evaluation of a flight control law. Result shows that the new method overcomes the limitations of the traditional evolution method, and can achieve satisfied results both for the whole flight envelope and for all predictable parameter perturbations.
出处 《航空学报》 EI CAS CSCD 北大核心 2013年第6期1261-1268,共8页 Acta Aeronautica et Astronautica Sinica
基金 国防预研项目(51327020104)~~
关键词 飞行控制律 差分进化算法 混沌理论 高斯扰动 参数摄动 flight control law differential evolution algorithm chaos theory Gaussian disturbance parameter perturbation
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参考文献15

  • 1刘林,车军,唐强,陈宗基.现代飞行控制律评估与确认先进方法研究[J].飞行力学,2007,25(1):1-4. 被引量:5
  • 2Iqbal S. Analysis of flight test manoeuvres using bifurca- tion analysis methods in support of flight clearance. AIAA Guidance, Navigation, and Control Conference, 2003: 1-16.
  • 3Lowenberg M. Aircraft control law clearance analysis using bifurcation and continuation methods. AIAA Guid- ance, Navigation, and Control Conference, 2003: 1008-1022.
  • 4Chriatopher F, Andras V, Samir B, et al. Advanced tech- niques for clearance of flight control laws. Berlin: Spring- er-Verlag, 2002: 313-333.
  • 5Selier M, Korte U, Fielding C, et al. New analysis tech- niques for clearance of flight control laws. AIAA Guid- ance, Navigation and Control Conference Exhibit, 2003, 976-984.
  • 6Glover K, Vinnicombe G, Papageorgiou G. Guaranteed- multi-loop stability margins and the gapmetric. The 38th IEEE Conference on Decision and Control, 2000: 4084-4085.
  • 7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[J].航空学报,2007,28(4):930-934. 被引量:2
  • 8吕全喜,刘林,唐强.飞行控制律全包线鲁棒稳定性评估[J].飞行力学,2008,26(5):32-35. 被引量:4
  • 9Wang Y J, Zhang J S. Global optimization by an improved differentiaI evolutionary algorithm. Applied Mathematics and Computation, 2007, 188(1): 669-680.
  • 10Noman N, Iba H. Enhancing differential evolution per- formance with local search for high dimensional function optimization. Proceedings of the 2005 Conference on Ge- netic and Evolutionary Computation. Washington, D.C. : ACM, 2005: 967-974.

二级参考文献23

  • 1吴亮红,王耀南,袁小芳,周少武.自适应二次变异差分进化算法[J].控制与决策,2006,21(8):898-902. 被引量:79
  • 2Kanellakis P C,Papadimitfiou C H.Local search for the asymmetric traveling salesman problem[J].Operations Research, 1979,25 (5) : 1086-1099.
  • 3Lee Y J, Lin C C,Chen J S,et al.Optimization of a composite rotor blade using a genetic algorithm with local search[J].Journal of Reinforced Plastics and Composites,2005,24(16): 1759-1769.
  • 4Tsou C S,Fang H H,Chang H H,et al.Simulated evolution and learning[M].Berlin: Heidelberg-Springer, 2006: 400-407.
  • 5Noman N,Iba H.Enhancing differential evolution performance with local search for high dimensional function optimization [C]//Proceedings of the 2005 Conference on Genetic and Evolutionary Computation.Washington DC : ACM, 2005 : 967-974.
  • 6Store R,Price K.Differential evolution-a smple and efficient heuristic for global optimization over continuous spaces[J].Journal of Global Optimization, 1997,11 (4) : 341-359.
  • 7Noman N,Iba H.Accelerating differential evolution using an adaptive local search[J].IEEE Transactions on Evolutionary Computation, 2008,12( 1 ) : 107-125.
  • 8周克敏 J C Doyle K Glover.鲁棒与最优控制[M].北京:国防工业出版社,2002.7.
  • 9Chriatopher Fielding, Andras Varga, Samir Bennani, et al.Advanced Techniques for Clearance of Flight Control Laws[M]. Berlin : Springer-Verlag ,2002.
  • 10Iqbal S. Analysis of Flight Test Manoeuvres Using Bifurcation Analysis Methods in Support of Flight Clearance[ A].AIAA Guidance ,Navigation, and Control Conference[ C ].Austin,2003.1-16.

共引文献13

同被引文献33

  • 1Liebst B S. Nonlinear pre-filter to prevent pilot-induced oscillations due to actuator rate limiting [ J ]. Journal of Guidance, Control, and Dynamics, 2002, 25 ( 4 ) : 740-747.
  • 2Ashkenas I L, Jex H R, McRuer D T. Pilot-induced os- cillations : their causes and analysis [ R ]. Northrop-No- rair Report, 1964.
  • 3Hanke D. Handling qualities analysis on rate limiting el- ements in flight control systems [ R]. Europe: AGARD- AR-335, 1995.
  • 4Fielding C, Varga A, Bennani S, et al. Advanced Techniques for Clearance of Flight Control Laws. Berlin, Germany : Springer-Ver-lag, 2002:434-445.
  • 5Meng W Y, Wei C, Tang J. Cultural Algorithm Based on Particle Swarm Optimization for Clearance of Flight Control Law// Proc of the 6th IEEE Conference on Industrial Electronics and Applications. Beijing, China, 2011 : 418-423.
  • 6Menon P P, Kim J, Bates D G, et al. Clearance of Nonlinear Flight Control Laws Using Hybrid Evolutionary Optimization. IEEE Trans on Evolutionary Computation, 2006, 10(6) : 689-699.
  • 7Menon P P, Bates D G, Postlethwaite I. Deterministic Versus Evo- lutionary Optimization Methods for Nonlinear Robustness Analysis of Flight Control Laws//Proc of the IEEE Congress on Evolutionary Computation. Singapore. Singapore, 2007:1910-1917.
  • 8Frossell L, Nilsson U. ADMIRE: The Aem-Data Model in a Research Environment 4.0. Technical Report, FOI-R-1624-SE. Stockholm, Sweden : Defenee Research Agency, 2005.
  • 9Frossell L. Flight Clearance Analysis Using Global Nonlinear Opti- mization Based Search Algorithms// Proc of the AIAA Guidance Navigation, and Control Conference and Exhibit. Austin, USA, 2003. DOI: 10. 2514/6.2003-5481.
  • 10高丽丽,刘弘,李同喜.基于文化粒子群算法的约束优化问题求解[J].计算机工程,2008,34(5):179-181. 被引量:13

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