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An adaptive control system development for DC electric motor implemented as “thyristor converter — DC motor” system is considered. Linear controllers based on P- and PI-algorithms are usually used for such plants. So adaptation is decided to be made by these controllers parameters on-line adjustment with the help of a neural tuner. This method allows to keep required transients quality for both armature...
The main objective of this research is to develop a method to construct a neural tuner of PI-controller parameters. Such tuning is necessary to improve energy efficiency of nonlinear industrial plants since the PI-controller is linear, and its parameters certain values are optimal only for a certain plant functioning mode. The tuner consists of a neural network calculating the controller parameters...
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