Model Identification of Linear Parameter Varying Aircraft Systems
Model Identification of Linear Parameter Varying Aircraft Systems
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DOI：
10.1243/09544100jaero28
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发表时间：
2006-04
期刊：
影响因子：
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通讯作者：
Atsushi Fujimori;L. Ljung
中科院分区：
文献类型：
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作者：
Atsushi Fujimori;L. Ljung
摘要本文给出了线性变参系统连续时间多面体模型的参数估计。对线性时不变（LTI）模型的预测误差方法进行了改进。将改进的预测误差方法应用于以飞行速度为变化参数，以稳定性和控制导数为模型参数的轻型飞行器系统。在识别仿真中，从时间和频率响应的角度来看，多面体模型比LTI模型更适合于表达LPV飞机系统的行为。调整初始多面体模型的scd，使模型输出与LPV飞机系统的输出数据拟合。
Abstract This article presents a parameter estimation of continuous-time polytopic models for a linear parameter varying (LPV) system. The prediction error method of linear time invariant (LTI) models is modified for polytopic models. The modified prediction error method is applied to an LPV aircraft system whose varying parameter is the flight velocity and model parameters are the stability and control derivatives (SCDs). In an identification simulation, the polytopic model is more suitable for expressing the behaviours of the LPV aircraft system than the LTI model from the viewpoints of the time and the frequency responses. The SCDs of the initial polytopic model are adjusted so as to fit the model output to the output data obtained from the LPV aircraft system.