Low-sensitively ensemble Kalman filtering-based induction motor state monitoring method
A Kalman filter, induction motor technology, applied in motor generator testing, measuring electricity, measuring devices, etc., can solve the problem of low accuracy of condition monitoring results
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[0081] Embodiment 1: A method for state monitoring of an induction motor based on a weakly sensitive ensemble Kalman filter, the flow chart of which is shown in figure 1 , the schematic diagram of weakly sensitive ensemble Kalman filter see figure 2 ,Proceed as follows:
[0082] Step (1): Establish the nonlinear state equation of the induction motor system
[0083] In an induction motor system, take the state vector x=[x 1 ,x 2 ,x 3 ,x 4 ,x 5 ] T , then its state equation is:
[0084]
[0085] where x 1 and x 2 is the stator current, x 3 and x 4 is the rotor flux linkage, x 5 is the angular velocity; K is a fixed parameter; λ is the reciprocal of the instantaneous time constant; J is the rotor inertia; p is the number of pole pairs; u 1 and u 2 is the stator voltage control input; c=[c 1 c 2 ], is an uncertain parameter vector, c 1 and c 2 are rotor resistance and stator resistance respectively; w is zero mean Gaussian white noise; other model parameters...
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