A Speed ​​Estimation Method of Bearingless Asynchronous Motor

An asynchronous motor, speed estimation technology, applied in the control of generators, motor-generator control, electronic commutation motor control and other directions, can solve the problem of high-frequency current signal affecting speed estimation, etc., to achieve enhanced robustness, high estimation The effect of precision

Active Publication Date: 2019-08-27
江阴智产汇知识产权运营有限公司
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Problems solved by technology

However, this method has high-frequency signal processing problems, and the quality of high-frequency current signal extraction directly affects the estimation of rotor position and speed.

Method used

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  • A Speed ​​Estimation Method of Bearingless Asynchronous Motor
  • A Speed ​​Estimation Method of Bearingless Asynchronous Motor
  • A Speed ​​Estimation Method of Bearingless Asynchronous Motor

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0051] 1. Constructed as figure 2 The system model subsystem module (1) shown includes UT transformation module (11), system transformation module (12), weight calculation module (13), and UT transformation module (11) and weight calculation module (13) The outputs of are all input in the system transformation module (12). Inputs to the system model subsystem block (1) It is the initial state vector of motor stator current, flux linkage and speed, which is input into UT transformation (11) module. The method of UT is: the state vector x is an n-dimensional random variable, and its mean value is known and covariance P. Then 2n+1 sigma points can be obtained through the following UT transformation module (11), and the construction method of UT transformation (11) is:

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Abstract

The invention discloses a rotational speed estimation method for a bearingless asynchronous motor. The method includes: according to a mathematical model of the asynchronous motor, establishing a system state equation and an observational equation; determining a covariance matrix of the system noise and the observation noise and a covariance initial matrix of the error of estimation; generating 2N+1 sigma points and the corresponding power values through unscented transformation and then calculating the further predictive value of a set of the points; calculating the further predictive value of the system state quantity and the covariance and the predictive observed quantity; and acquiring the mean value and the covariance through the weighted sum; calculating kalman gain matrix and status update and covariance update. This new kalman filtering algorithm spreads the statistical property of the stochastic process through the sampling point instead of utilizing first order linearization method in EKF, therefore, this algorithm has higher estimation precision. Besides, the attenuation factor is introduced when the prior error is calculated, which makes the filter much more relies on the measurement value in the estimation process, the influence of the state estimation uncertainty is reduced and the robustness of the system is enhanced.

Description

technical field [0001] The invention is a speed estimation method of a bearingless asynchronous motor based on an attenuation memory unscented Kalman filter algorithm. A new strategy is provided for the speedless operation of the bearingless asynchronous motor, which is suitable for the high-performance control of the bearingless motor, and belongs to the technical field of electric drive control equipment. Background technique [0002] Traditional motor rotor speed is usually detected by mechanical speed sensors, but for bearingless asynchronous motors, there are problems in installation, connection and reliability when using mechanical speed sensors. And the sensor itself is mechanically difficult to realize the high-speed and ultra-high-speed operation of the motor, which seriously limits the excellent high-speed performance of the bearingless asynchronous motor. Therefore, the speed sensorless technology has become an effective means to solve the problem of bearingless ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P21/18
Inventor 孙宇新沈启康施凯吴昊洋唐敬伟陈宇超
Owner 江阴智产汇知识产权运营有限公司
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