| 基于增广最小二乘法的气动位置控制系统参数辨识研究 |
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| 引用本文： | 权宁. 基于增广最小二乘法的气动位置控制系统参数辨识研究[J]. 液压与气动, 2021, 0(1): 152-156. DOI: 10.11832/j.issn.1000-4858.2021.01.024 |
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| 作者姓名： | 权宁 |
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| 作者单位： | 徐州工业职业技术学院机电工程学院, 江苏徐州 221000 |
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| 摘 要： | 为实现气动位置控制系统的准确定位,对气动位置控制系统参数进行了数学建模,并推导出该系统的传递函数.采用AIC准则对系统进行了阶次辨识,对于不同的阶次(ň),找到了使AIC((ň))的(ň)作为模型最小的阶次;基于增广最小二乘法扩充了参数向量和数据向量的维数,实现了对有色噪声的无偏估计.实验结果表明,采样时间设定为10 ...
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| 关 键 词： | 增广最小二乘法 位置控制 参数辨识 |
Parameter Identification of Pneumatic Position Control System Based on Augmented Least Square |
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| QUAN Ning. Parameter Identification of Pneumatic Position Control System Based on Augmented Least Square[J]. Chinese Hydraulics & Pneumatics, 2021, 0(1): 152-156. DOI: 10.11832/j.issn.1000-4858.2021.01.024 |
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| Authors: | QUAN Ning |
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| Affiliation: | School of Mechatronic Engineering, Xuzhou College of Industrial Technology, Xuzhou, Jiangsu 221000 |
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| Abstract: | In order to realize the accurate positioning of the pneumatic position control system, mathematical modeling of the parameters of the pneumatic position control system are carried out, and the transfer function of the system is derived. The AIC criterion is used to identify the order of the system, it is found that of AIC() is the minimum order of the model. Based on the augmented least square method, the dimension of the parameter vector and the data vector is expanded, and the unbiased estimation of colored noise is realized. The experimental results show that the sampling time is set to 10ms, and the data length is set to 1000. The new output estimation value is in good agreement with the actual output curve of the system. |
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| Keywords: | augmented least square position control parameter identification |
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