改进的无功功率模型参考自适应异步电机转速辨识
针对传统无功功率模型参考自适应模型的输入信号中含有大量的高频信号和噪声,致使模型的自适应机构设计难度增加、速度预测精确度降低的问题,提出改进的基于无功功率的模型参考自适应系统。在传统的无功功率模型参考自适应模型的基础上,引入巴特沃思滤波器并运用改进的模糊PI控制器取代原有的控制器,滤除了输入信号的噪声,提高转速预测精确度。仿真结果表明,改进后的无功功率模型参考自适应系统,参考模型输出的无功功率信号较滤波前其振动的幅值和频率大幅度降低,将这种信号作为自适应模块的输入得到的预测转速,其预测精确度和预测系统动态性能得到提高显著。...
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| Published in | 电机与控制学报 Vol. 21; no. 10; pp. 40 - 46 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
燕山大学 工业计算机控制工程河北省重点实验室,河北 秦皇岛066004
2017
燕山大学 国家冷轧板带装备及工艺工程技术研究中心,河北 秦皇岛066004 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-449X |
| DOI | 10.15938/j.emc.2017.10.006 |
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| Summary: | 针对传统无功功率模型参考自适应模型的输入信号中含有大量的高频信号和噪声,致使模型的自适应机构设计难度增加、速度预测精确度降低的问题,提出改进的基于无功功率的模型参考自适应系统。在传统的无功功率模型参考自适应模型的基础上,引入巴特沃思滤波器并运用改进的模糊PI控制器取代原有的控制器,滤除了输入信号的噪声,提高转速预测精确度。仿真结果表明,改进后的无功功率模型参考自适应系统,参考模型输出的无功功率信号较滤波前其振动的幅值和频率大幅度降低,将这种信号作为自适应模块的输入得到的预测转速,其预测精确度和预测系统动态性能得到提高显著。 |
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| Bibliography: | The input signal of the traditional reactive power model reference adaptive model contains a large number of high-frequency signals and noises, which causes much difficulties to design the model of the adaptive and reducing the accuracy of the speed prediction. The improved reactive power model refer- ence adaptive model is proposed to solve this problem. This model was based on the traditional reactive power model reference adaptive model, which introduced the Butterworth filter and an improved fuzzy PI controller to replace the original controller, filter out the input signal noise and improve speed prediction accuracy. Simulation results show, in the improved reactive power model reference adaptive system, the magnitude and frequency of the reactive power signal output from the reference model is significantly low- er than those before filtering. This signal is used as input to the adaptive module and the predicted speed is got. The prediction accuracy and prediction system dynamic performance are signific |
| ISSN: | 1007-449X |
| DOI: | 10.15938/j.emc.2017.10.006 |