【摘要】 提出了一种基于奇异值分解的扩展Kalman滤波方法,可以实现驱动系统的基本正序分量和频率的实时在线估计。该算法可避免因误差传播而造成的数值稳定性差的问题,可有效提高参数的估计精度。仿真结果表明此方法的有效性和较高的估计精度,并可用于逆变器驱动系统的控制和状态检测。更多还原

【Abstract】 An extended Kalman filter based on singular value decomposition is presented. The estimation of both the fundamental positive sequence and the fundamental frequency of the inverter system is obtained. The algorithm can avoid the problem of numerical stability resulting from the propagation of the calculation error, and the estimation accuracy is improved. Simulation results show that the method is effective. The algorithm can be used to control the inverter fed drives and detect the faults in the inverter.更多还原