期刊文献+

飞行器智能控制系统研究进展 被引量:4

Research Progress of Intelligent Control Systems of Aerocrafts
下载PDF
导出
摘要 进行了飞行器智能控制系统研究进展的分析与综述。简要回顾了基于动态专家系统的飞行器自适应控制系统和当今广泛采用的飞行器"参谋"控制系统;在对智能系统发展趋势进行分析的基础上,推荐了建立在阿诺辛提出的功能系统理论基础上的最具发展前景的智能系统,给出了结构框图,详细介绍了作为该型智能系统中核心模块的预测算法、控制算法、目标综合和动态专家系统的构建问题;介绍了功能-智能系统用于飞行器控制的最新成果,描述了系统框图和关键部分的实现过程,并给出了对系统性能的仿真研究结果。在对智能控制系统的功能结构及其算法进行分析的基础上,给出了在实际应用中建立有效和性能良好的智能系统的建议。 The research progress of intelligent control systems of aerocrafts was analyzed and summarized.The varied types of adaptive control systems of aerocrafts based on dynamic expert systems and the "advice" control systems of aerocrafts widely used currently were discussed.The development trends of intelligent systems were analyzed,and the most perspective intelligent system based on theory of functional systems proposed by Anokhin P K was suggested.The scheme diagram of intelligent system was given.The constructional problems of prediction and control algorithms,target synthesis and dynamic expert system,which are the key blocks of intelligent control system,were discussed in detail.The latest sucsesses of functional-intelligent system for control of aerocrafts were presented with description of system scheme and realization process of key parts.The simulation results of system performance was demonstrated.The developing advices of effective intelligent control system which has a favourable performance in actual application were proposed based on the analysis of the structure and algorithms of intelligent control system.
出处 《兵工学报》 EI CAS CSCD 北大核心 2010年第7期939-949,共11页 Acta Armamentarii
关键词 自动控制技术 智能控制系统 飞行器 功能系统 预测算法 控制算法 目标综合 automatic control technology intelligent control system aerocraft functional system prediction algorithm control algorithm target synthesis
  • 相关文献

参考文献63

  • 1ВасильевСН,ЖерловАК,ФедосовЕА.Интеллектуальноеуправлениединамическимисистемами[M].Москва:Физматлит,2000.
  • 2Drescher G L.Made-up minds:a constructivists approach to artificial intelligence[M].London::The MIT Press,1991.
  • 3Narendra K S.Neural network for control:theory and practice[J].Proceedings of the IEEE,1996,84 (10):1385-1406.
  • 4Rauch H E,Schaecter D B.Neural networks for control,identification,and diagnosis[C] ∥ Proceedings of World Space Congress,Washington:IEEE Press,1992:F4.4-M1.06.
  • 5Michalewicz Z.Genetic algorithm + data structure = evolution programs[M].Heideberge:Springer,1994.
  • 6ИвахненкоАГ.Техническаякибернетика[M].Киев:Гос.Изд-воТехн.Лит.УССР,1962.
  • 7Kambhampati S K,Davis L S.Multi-resolution path planning for mobile robots[J].IEEE Journal of Robotics and Automation,1986,RA-2:135-145.
  • 8Khatib O.Real-time obstacle avoidance for manipulators and mobile robots[J].International Journal of Robotics Research,1986,(5):90-98.
  • 9ЕмельяновВВ.Теорияипрактикаэволюционногомоделирования[M].Москва:Физматлит,2003.
  • 10Vassilyev S N,Doganovski S A.,Maskimkin N N,et al.Integrated control systems with reconfiguration of active plants.design and applications[C] ∥ Proceeding of the 2nd IFAC Workshop on New Trends in Design of Control Systems,Smolenice:IEEE Press,1997:517-522.

共引文献546

同被引文献50

引证文献4

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部