基于RS-Chaos-LSSVM的鱼雷航向控制研究  

The Study on Torpedo Heading Predictive Control System Based on RS-Chaos-LSSVM

作　　者：宋晓茹[1] 宋保维[2] 罗德柱[3] 

机构地区：[1]西安工业大学电子信息工程学院,西安710032 [2]西北工业大学航海学院,西安710072 [3]陕西电力科学研究院,西安710045

出　　处：《弹箭与制导学报》2012年第6期41-44,54,共5页Journal of Projectiles,Rockets,Missiles and Guidance

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.

关 键 词：控制 粗糙集 LSSVM 混沌优化 

分 类 号：TJ630.34[兵器科学与技术—武器系统与运用工程]