基于扩展卡尔曼滤波算法的异步电机转速辨识性能评估被引量：3

The Asynchronous Electric Motor Rotational Speed Identification Performance Appraisal Based on Extended Kalman Filtering Algorithm

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摘要利用扩展卡尔曼滤波器(EKF),将转子转速看成一个状态量,通过测量电机定子侧的端电压和电流在线估计电动机转子速度。通过较全面的仿真实验对比分析,研究了采样周期、滤波器参数和电机参数对转速在线估计性能指标的影响。对比结果发现,该方法进一步优化了用扩展卡尔曼滤波器对电动机转速的辨识。 Using Extended Kalman Filter （EKF）, regarding the rotor rotational speed as a condition quantity, surveying motor stator voltages and currents, a rotor speed is estimated online. Through overall simulating experimental analysis and contrast, this paper has studied the influence of the sampling period, the filter parameter and the motor parameter on the rotational speed performance index which online estimated. The contrast result discovered that, this method further optimizes with EKF to the electric motor rotational speed identification.

作者徐凯

机构地区重庆交通大学计算机与信息学院

出处《电气自动化》北大核心 2008年第4期20-23,共4页 Electrical Automation

基金重庆市自然科学基金项目(CSTC 2006BB3419)

关键词扩展卡尔曼滤波转速辨识性能指标参数优化 extended kalman filtering rotational speed identification performance index parameter optimization

分类号 TP14 [自动化与计算机技术—控制理论与控制工程]

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