The Functionally Similar to Adaptive Nonlinear Algorithm for Control of Dynamic Plant with Limited Uncertainty
Control Systems Department, Saint-Petersburg electrotechnical university LETI, Saint-Petersburg, Russia
A new nonlinear algorithm to control the dynamic plant with limited parametric uncertainty is developed. The algorithm ensures the asymptotic stability and roughness concerning the unaccounted disturbances, and also has almost instantaneous convergence. Simulation studying of operating modes of the synchronous generator with power grid shows the narrow localization (nearly matching) of synchronous generator transient processes in an conditions of significant variations of its parameters with a large multiplicity. Design and implementation of these algorithms is quite simple and does not require precise debugging.
© The Authors, published by EDP Sciences, 2016
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