Method for controlling bearing-less AC asynchronous motor neural network inverse decoupling controller
An AC asynchronous motor, neural network inverse technology, applied in the direction of AC motor control, motor parameter estimation/correction, control system, etc., to achieve the effect of practical structure, dynamic decoupling, and compact structure
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[0022]The embodiment of the present invention is: firstly based on the prototype body of the bearingless AC asynchronous motor, and then composed of two Clark inverse transforms, two current tracking inverters and the load of the bearingless AC asynchronous motor as a whole to form a composite controlled object, the The compound controlled object is equivalent to a 6-order differential equation model in the static coordinate system, and the relative order of the system vector is {2, 2, 1, 1}. A static neural network (3-layer network) with 10 input nodes and 4 output nodes plus 6 integrators -1 Construct the neural network inverse of a compound plant with 10 input nodes and 4 output nodes. And by adjusting the weights of the static neural network, the neural network inversely realizes the inverse system function of the compound controlled object. Then the neural network inverse is connected before the compound controlled object, and the neural network inverse and the compound ...
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