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 embodiment of the present invention is as follows: first, a five-degree-of-freedom bearingless permanent magnet synchronous motor prototype body is constructed based on a three-degree-of-freedom AC-DC radial-axial hybrid magnetic bearing and a two-degree-of-freedom bearingless permanent magnet synchronous motor, and then three 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 form a composite controlled object as a whole, and the composite controlled object is equivalent to The 11th order differential equation model of , the relative order of the system vector is {2, 2, 2, 2, 2, 1}. Static neural network (3-layer network) with 17 input nodes and 7 output nodes plus 11 integrators -1 Construct the neural network inverse of a compound plant with 6 input nodes and 7 output nodes. And by adjusting the weights of the static neural network, the neural n...
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