Method for estimating status of brushless direct current motor based on extended kalman filter
A technology that extends Kalman and brushed DC motors. It is applied to the control of generators, motor generators, and electronically commutated motors. It can solve problems such as difficult debugging, reduced observation effects, and unusability.
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[0046] The present invention will be described in detail below with reference to the drawings and embodiments.
[0047] The present invention provides a position sensorless brushless DC motor state estimation method based on an extended Kalman filter. The traditional extended Kalman filter is improved, and the measurement error covariance matrix R is adjusted by fuzzy rules to improve the speed In order to quasi-group the filter initial value p(0), the system error covariance matrix Q and add the attenuation factor, etc., under the premise of almost not increasing the complexity of the Kalman filter structure, the extended Kalman filter is improved The estimation effect of brushed DC motor with modeling errors and non-ideal noise. The specific implementation steps are as follows:
[0048] Step one, control object modeling.
[0049] The control object of the present invention is a brushless DC motor. Taking the two-phase conduction star-shaped three-phase six-state brushless DC mot...
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