改进的无功功率模型参考自适应异步电机转速辨识

发布时间：2018-02-28 20:48

本文关键词： 转速辨识模型参考自适应无功功率巴特沃斯滤波器模糊PI控制器　出处：《电机与控制学报》2017年10期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:The input signal of traditional reactive power model reference adaptive model contains a large number of high frequency signals and noise, which makes the design of adaptive mechanism of the model more difficult and the accuracy of speed prediction lower. An improved model reference adaptive system based on reactive power is proposed. Based on the traditional model reference adaptive model of reactive power, the Butterworth filter is introduced and the original controller is replaced by an improved fuzzy Pi controller. The noise of input signal is filtered and the precision of speed prediction is improved. The simulation results show that the improved reactive power model reference adaptive system, The output reactive power signal of the reference model is much lower than the amplitude and frequency of the vibration before filtering. The prediction accuracy and dynamic performance of the prediction system obtained by using this signal as the input of the adaptive module are improved significantly.
【作者单位】：燕山大学国家冷轧板带装备及工艺工程技术研究中心;燕山大学工业计算机控制工程河北省重点实验室;
【基金】：河北省高等学校创新团队领军人才培训计划(LJRC013) 河北省自然科学基金面上项目(F2016203249) 国家冷轧板带装备及工艺工程技术研究中心开放课题(2012006)
【分类号】：TM343

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