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基于粒子群优化的多操纵面飞行器的重构控制 被引量:6

Reconfigurable Control Based on PSO for Multi-Effector Aircraft
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摘要 提出一种基于粒子群优化算法的控制分配算法的重构控制策略。利用粒子群优化算法的实时性、高效性等优点,选择出符合最优性能指标要求的控制输入量,解决控制分配算法问题。当操纵面出现一个或多个损伤、失效等故障时,飞行控制系统能实时地调节控制效率矩阵,从而对各操纵面进行再分配,实现重构控制。仿真表明,该策略在飞行器遇到故障时能快速地调整,降低对故障操纵面的使用,协调其他操纵面及时解决故障问题,从而保证飞行器的正常工作。 A novel reconfigurable control strategy using the control allocation based on the Particle Swarm Optimization( PSO ) algorithm is proposed .The control input for the optimal performance index can be selected efficiently in real time through the PSO,thus to solve the problem of control allocation .When one or more of the multiple effectors of the aircraft are damaged or lose efficacy,the flight control system can adjust the efficiency of the control matrix properly and use the new control matrix to complete the redistribution of the effectors.Simulation results show that the reconfigurable control method can efficiently adjust the effectors,and the fault problem can be solved timely by reducing the use of the damaged effectors and coordinating the normal effectors,thus can ensure the normal flight of the aircraft .
出处 《电光与控制》 北大核心 2014年第5期68-72,共5页 Electronics Optics & Control
基金 国家自然科学基金(61074063)
关键词 控制分配 粒子群优化算法 多操纵面 重构控制 故障 control allocation multiple effectors reconfigurable control fault
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  • 1钟一文,宁正元,蔡荣英,詹仕华.一种改进的离散粒子群优化算法[J].小型微型计算机系统,2006,27(10):1893-1896. 被引量:20
  • 2KhalilHK.非线性系统[M].3版.北京:电子工业出版社,2011.
  • 3Gorissen D, Quaranta E, Ferraro M, et al. Value-based decision environment: vision and application[J]. Journal of Aircraft, 2014, 51(5) : 1360-1372.
  • 4Weisshaar T A. Morphing aircraft systems: historical perspectives and future challenges[J]. Journal of Aircraft, 2013, 50(2): 337-353.
  • 5Mardanpour P, Hodges D H. Passive morphing of flying wing aircraft Z-shaped configuration[J]. Journal of Flu ids and Structures, 2014, 44: 17-30.
  • 6Nieto Wire C, Sobel K. Delta operator eigenstructure as- signment for reconfigurable control of a tailless aircraft [J]. Journal of Guidance, Control, and Dynamics, 2014, 37(6) .. 1824-1839.
  • 7Nieto-Wire C, Sobel K. Delta operator eigenstructure as- signment for fault detection and control of a tailless air- crah[C]//Proceedings of Guidance, Navigation, and Control and Co-located Conferences. Reston: AIAA, 2013: 1-24.
  • 8Yang X S, Deb S. Cuckoo search via Lvy flights[C]// Proceedings of 2009 World Congress on Nature Biologi- cally Inspired Computing. Piscataway, NJ= IEEE Press, 2009: 210-214.
  • 9Yang X S, Deb S. Engineering optimisation by cuckoo search[J]. International Journal of Mathematical Model- ling and Numerical Optimisation, 2010, 1(4): 330-343.
  • 10Burnwal S, Deb S. Scheduling optimization of flexible manufacturing system using cuckoo search-based approach [J]. International Journal of Advanced Manufacturing Technology, 2013, 64(5): 951-959.

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