Neural network prediction decoupling controller for five-degree-of-freedom bearingless permanent magnet synchronous generator
A decoupling controller and neural network technology, applied in the field of bearingless permanent magnet synchronous generators, achieves the effects of low sample requirements, improved control efficiency, and simple and easy-to-understand principles
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[0018] as Figure 1 The five degrees of freedom of the present invention without bearing permanent magnet synchronous generator neural network prediction decoupling controller 17, which consists of two neural network dynamic prediction modules 4, 5 and a fuzzy neural network system 3 in series, the outputs of the two neural network dynamic prediction modules 4 and 5 are connected in series to the input end of the fuzzy neural network system 3, and the input terminal of the fuzzy neural network system 3 is connected comprising a composite controlled object 2 of the five-degree-of-freedom bearingless permanent magnet synchronous generator.
[0019] The output of the composite controlled object 2 is the five-degree-of-freedom bearingless permanent magnet synchronous generator in the x and y directions of four radial displacements {x). a ,y a ,x b ,y b }, an axial displacement z a and a power generation voltage u. The input of the first neural network dynamic prediction module 4 is th...
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