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基于RS-Chaos-LSSVM的鱼雷航向控制研究 被引量:1

The Study on Torpedo Heading Predictive Control System Based on RS-Chaos-LSSVM
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摘要 基于典型的非线性系统的鱼雷航向控制存在不确定性因素,尝试提出基于RS-Chaos-LSSVM的航向控制方案。Chaos在线优化LSSVM模型参数,确保控制的精度。为提高控制的实时快速性,采用RS理论消除冗余信息,用约简后的规则集对Chaos-LSSVM模型进行训练控制,满足较好的快速性;RS-Chaos-LSSVM与RS-LSSVM控制器仿真表明,该方法提高了鱼雷航向控制的实时精确性,且对于海流海浪干扰具有良好的自适应抗干扰能力。 In view of uncertain nonlinear factor and real-time control of the torpedo heading control,the controller based on RS-Chaos-LSSVM was presented.The Chaos theory on-line optimizes LSSVM parameters for higher accuracy.To obtain good rapidity,the RS theory was used to eliminate redundant information;The simplified rule sets were used to train the Chaos-LSSVM algorithm.The result is compared the RS-Chaos-LSSVM with RS-LSSVM controller.The simulations show the precision of trajectory model is improved,and it is with better self-adaptive anti-jamming capability for ocean current.
出处 《弹箭与制导学报》 CSCD 北大核心 2012年第6期41-44,54,共5页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 控制 粗糙集 LSSVM 混沌优化 control RS LSSVM chaos optimization
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参考文献6

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