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Mechanics nonlinearity of such a complicated plant as rolling mill leads to deterioration of transients quality for a main drive speed control loop. A main reason for that is linearity of P-control algorithm used for this loop. That problem can be overcome by controller parameter adaptation algorithms usage. In this research we propose to adjust speed P-controller online using a neural tuner. It is...
A neural tuner is considered as a tool to adjust speed PI-controller parameters. It is proposed to use it in a rolling mill control system to reject disturbances caused by the roll bite process. Such disturbances amplitude varies according to rolling metal parameters change. The experiments to reject disturbances effectively are conducted with the help of a mathematical and laboratory scale model...
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The main tendency of rolling mills drives modernization is outdated analog control systems replacement with new digital ones. At the same time, a power section of the drive remains the same. This gives an opportunity to develop and implement adaptive digital control system for such plants in order to take into consideration their high nonlinearity. Having considered different types of such systems,...
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