State Monitoring Method of Induction Motor Based on Weakly Sensitive Ensemble Kalman Filter

A Kalman filter and induction motor technology, which is applied in the direction of motor generator testing, measuring electricity, measuring devices, etc., can solve the problem of low accuracy of state monitoring results

CN109270455BActive Publication Date: 2021-02-02ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-02-02

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Abstract

The invention discloses an induction motor state monitoring method based on a weakly sensitive set Kalman filter, in order to solve the technical problem of low accuracy of the state monitoring results of the induction motor in the existing method. The steps are as follows: establish the state equation of the induction motor system, establish the measurement equation of the induction motor system, discretize the state equation and measurement equation, apply weakly sensitive ensemble Kalman filter to the discretized state equation and measurement equation, and output the induction motor Stator current, rotor flux linkage and angular velocity. Compared with EnKF, the present invention uses weak sensitive optimal control technology to solve the uncertainty of parameters (such as rotor resistance and stator resistance, etc.) in the induction motor system, and weaken the state (stator current, rotor flux linkage and angular velocity) in the induction motor system Estimate the sensitivity to uncertain parameters and improve the state monitoring accuracy of induction motors. This method can be applied to the state PID control process of induction motors.
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Description

technical field

[0001] The invention relates to the technical field of induction motor state monitoring, in particular to an induction motor state monitoring method based on weakly sensitive set Kalman filter. Background technique

[0002] Due to its simple structure, stable performance, low cost, and convenient manufacturing, induction motors have attracted extensive attention in theoretical research and practical applications, and are widely used in electric vehicles, transportation, and CNC machine tools. At present, practical induction motor AC speed control systems generally use indirect methods to monitor flux linkage and speed, that is, by detecting easily measurable physical quantities such as voltage and current at the stator end of the motor, and using state estimation methods to calculate flux linkage and speed in real time. So as to realize the precise control of flux linkage and speed, that is, the so-called speed sensorless control of induction motor, the speed...

Examples

Embodiment 1

[0081] Example 1: A sensory motor status monitoring method based on the melancholy set Calman filtering, see the flowchart figure 1 For the schematic diagram of the Melale of Calman Filter figure 2 ,Proceed as follows:

[0082] Step (1): Create a non -linear state equation of an inductive motor system

[0083] In the inductive motor system, take status vector x = [x 1 ,x 2 ,x 3 ,x 4 ,x 5 ] T The state equation is:

[0084]

[0085] where x 1 X 2 It is the stator current, x 3 X 4 It's a rotor magnetic chain, x 5 It is angular speed; K is a fixed parameter; λ is the countdown of the instantaneous time constant; J is a rotor inertia; P is extremely pair; u 1 and u 2 It is the stator voltage control input; C = [C 1 c 2 ], It's uncertain parameter vector, C 1 and c 2 They are rotor resistors and stator resistors; W is a zero average high -sized white noise; other model parameters are:

[0086]

[0087] Among them, rotor inductance L s = 0.0699 [h], stato...