Nerval net based inverse control system for permanent-magnet synchronous motor with five degrees of freedom without bearing and control method
A permanent magnet synchronous motor, neural network inverse technology, applied in general control systems, control/regulation systems, synchronous machines, etc., can solve the problems of no patents and literature, and achieve the effect of power improvement, practical structure, and compact structure
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[0027] The implementation of the present invention is: firstly, a prototype body of a five-degree-of-freedom bearingless permanent magnet synchronous motor is constructed based on a three-degree-of-freedom AC and DC radial-axial hybrid magnetic bearing and a two-degree-of-freedom bearingless permanent magnet synchronous motor. A Clark inverse transform, three current tracking inverters, a linear power amplifier, a five-degree-of-freedom bearingless permanent magnet synchronous motor and a load constitute a composite controlled object as a whole. The composite controlled object is equivalent to a static coordinate system The 11th-order differential equation model of, the relative order of the system vector is {2,2,2,2,2,1}. A static neural network (3-layer network) with 17 input nodes and 7 output nodes plus 11 integrators -1 It constitutes a neural network inverse of the compound controlled object with 6 input nodes and 7 output nodes. And by adjusting the weights of the static ne...
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