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基于PSO的Hammerstein模型辨识及其在雷达伺服系统应用 被引量：1

Hammerstein Model Identification Based on PSO Algorithm and Application on Radar Servo System
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摘要 雷达的伺服系统中存在摩擦、死区及齿轮空隙等非线性特性,Hammerstein模型可以对其进行描述。基于PSO算法对Hammerstein非线性模型进行参数辨识,在此过程中提出RLS-PSO算法,并将该算法应用于雷达伺服系统的建模。试验结果表明,该模型可以有效描述雷达伺服系统,为实现精确非线性控制奠定基础。 There are nonlinear characteristics in radar servo systems, such as friction, dead zone and gear gap, which can be described by the Hammerstein model.The PSO algorithm was used to the parameters identification of nonlinear Hammerstein model. The RLS-PSO algorithm was proposed and applied to the modeling of radar servo system. Experimental results show the obtained model can describe the characteristic of radar servo system,make the basis of precise nonlinear control.
作者 叶超 李才阳
机构地区 中电集团第三十八研究所 中物院应用电子学研究所
出处 《电气传动》 北大核心 2013年第5期59-62,80,共5页 Electric Drive
关键词 HAMMERSTEIN模型 粒子群算法 雷达伺服系统 Hammerstein model particle swarm optimization radar servo system
分类号 N945.12 [自然科学总论—系统科学]
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参考文献13

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电气传动
2013年 第5期

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