An intelligent Adaptive Vector Control Technique Using a Multi-Neural Networks Based Hybrid Structure
International Joint Conference on Neural Networks, 1999. IJCNN '99., (1999)Abstract
One of the most important tash, for a machine control
process is the system identification. To identh varying
parameters which are dependent to speed, control
voltages and currents (etc.), one must have an adaptive
control system. In the case of the synchronous machines
the vector control concept is used It supposes an
appropriated plant's model taking into account internal
parameters. In the real applications, the machine's
parameters vary in a non-linear way and are not
constant. We propose a neural controller with a multineural
networks based plant identiier. Simulations and
experimental results based on a real plant database have
been reported validating our multi-neural networks based
approach.
