Cross-regulation is one of the critical challenges in single-input and multi-output converters. In this study, new design guidelines and an analytical model for studying the cross-regulation between the dual-outputs of the fly-buck converter are proposed. A small-signal AC model is first established to obtain control over the output and to determine the cross-influence transfer functions of the system. Then, a load regulation coefficient and method for analysing the cross-regulation while considering the load magnitude and load change are proposed to study the characteristics of the fly-buck converter. Finally, to demonstrate the rationality behind the influencing factors over cross-regulation based on the resulting characteristics, a fly-buck converter with double control variables and lower cross-regulation is designed. Simulations and experimental prototypes are implemented to demonstrate the effectiveness of the proposed theoretical analysis.
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In this technical note, an H2 approach to networkbased control system with multiple packet dropouts is introduced. The communication links over network media are assumed to be data-packet dropouts. Two channel packet dropouts are simultaneously considered due to limited communication capacity and unreliable communication links. One is measurement channel packet dropouts which are from the sensor to the controller. The other is control channel packet dropouts which are from the controller to the actuator. Stochastic variables satisfying the Bernoulli random binary distribution are utilized to model the random multiple packet dropouts. A linear matrix inequality(LMI)-based design method is proposed for designing observer-based feedback H 2 controller to guarantee the closed-loop networked control system to be asymptotically mean-square stable and preserve a guaranteed H 2 performance. Finally, an illustrative example is provided to show the applicability of the proposed method.Index Terms-H 2 approach, networked control system, multiple packet dropouts, stochastic stability, linear matrix inequality (LMI).
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