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改善系统抗干扰性能的自适应双重控制算法

Adaptive Dual Control Algorithm for Improving Anti-jamming Property of Systems
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摘要 针对系统发生较大扰动时常规的控制算法难以取得理想控制效果的问题,提出了一种基于自适应双重控制理论的解决办法。该算法充分利用了自适应双重控制能够快速跟踪参考轨迹,并且在系统模型失配的情况下不产生大的超调和波动的特点,并将控制算法加以改进,解决了系统对象剧烈变化的问题,改善了系统的抗干扰能力。仿真结果表明,该算法可以有效克服系统剧烈变化引起的大幅度波动,表现出良好的控制品质。 To the problem that conventional control algorithms can not get ideal results if big jamming occurs in the system,a method based on adaptive dual control is presented.Adaptive dual control can quickly track the reference orbit,and no large overshoot or fluctuation appears when the model does not match.By making full use of these advantages,the anti-jamming property of the system is greatly improved so as to solve the problem of the sharp changes of the system output.The simulation results show that the algorithm can effectively overcome big fluctuations and perform excellent control quality.
作者 高龙 杨慧中
出处 《控制工程》 CSCD 2008年第4期416-419,共4页 Control Engineering of China
基金 国家自然科学基金资助项目(60674092) 江苏省高技术研究基金资助项目(BG2006010) 江南大学创新团队发展计划基金资助项目
关键词 自适应双重控制 广义预测控制 系统辨识 抗干扰 adaptive dual control generalized predictive control system identification anti-jamming
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参考文献5

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