期刊文献+

模型直升机垂直通道的改进最小二乘辨识方法

The Hybrid Model Identification of Small-scale Robot Helicopter's Heave Degree-of-freedom in Hovering Using an Improved Least Square Method
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摘要 分析了模型直升机悬停时垂直方向的位移与总距输入之间的关系,建立了一个参数化模型,设计进行了试验并采集得到了用于辨识的输入输出数据。针对所建参数化模型的特殊性,采用了一种改进的最小二乘法进行参数辨识,得出了解析化的关系式,为进一步分析模型直升机垂直通道的特性和飞行控制系统设计提供了基础。 Analyzing the relation between the collective control input and altitude of the model-scale helicopter in hovering condition,a parameterized model is developed and an experiment is designed and implemented,at the same time,the input-output data that is used to identify the model parameters is collected.Because of the characteristics of the proposed parameterized model,an improved least square method is used to identify the model parameters.The resulted analytic equation may provide the basic knowledge for analyzing the characteristics of the model-scale helicopter's heave degree-of-freedom and designing the flight control system.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第22期189-191,共3页 Computer Engineering and Applications
基金 国家自然科学基金资助项目(编号:60475039)
关键词 模型直升机 模型结构 系统辨识 最小二乘法 model-scale helicopter,model structure,system identification,least square method
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参考文献6

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