| .基于UKF算法的异步电机无速度传感器矢量控制系统[J].电气自动化,2011,(2): |
| 基于UKF算法的异步电机无速度传感器矢量控制系统 |
| Speed Sensorless Vector Control of Asynchronous Motor Based on UKF |
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| DOI： |
| 中文关键词: 无轨迹卡尔曼滤波 最小偏度 无速度传感器 矢量控制 异步电机 |
| 英文关键词:unscented Kalman filter minimal skew simplex sampling speed sensorless vector control asynchronous motor |
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| 摘要点击次数: 2988 |
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| 中文摘要: |
| 针对异步电机无速度传感器矢量控制系统的转速、磁链估计问题,提出一种基于无轨迹卡尔曼滤波(UKF)的状态估计算法。为避免常用的对称采样方法仅适用于处理高斯噪声并且sigma点多带来的计算量大问题,依据UT变换理论,采用最小偏度单形采样方法,减少了近1/3的计算量。仿真结果表明,所提出的基于最小偏度采样的UKF估计器能够准确地估计转子磁链、转速。 |
| 英文摘要: |
| Concerning the speed and flux estimation problem of speed sensorless vector control of asynchronous motor,a state estimation algorithm based on Unscented Kalman Filter is proposed.Symmetrical sampling strategy is common used but not showed good performance while dealing with non-Gaussian noise,and the large number of sigma points causes reasonable computation load.In the paper,minimal skew simplex sampling is adopted according to UT transformation theory,as a result,nearly 1/3 computation load is reduced.Si... |
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