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This paper introduces an adaptive current control strategy for DC-DC boost converters without input-output voltage sensing. In addition, accurate current control is achieved in the presence of dynamical uncertainties. Unlike many controllers available for DC-DC converters, the adaptive controller's stability is guaranteed by Lyapunov stability theory. A comparison to PI counterpart has been carried...
In this paper, a motion and balance control scheme is introduced for inverted pendulums using artificial neural network (ANN). The control strategy uses a trade-off strategy to achieve motion tracking and balance control simultaneously with a single controller. Unlike other neural control strategies, no offline learning or a priori system's dynamics knowledge is required. The controller is trained...
In this manuscript, we propose an adaptive fuzzy logic controller for a DC-DC boost converter with parametric and load uncertainties. The control strategy aims to achieve accurate voltage tracking with unknown dynamics, highly parameter and load variations, and no current sensing. Therefore, robustness to uncertainties of large magnitudes is achieved without the inner current control loop, which reduces...
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