A comprehensive analysis of current-mode control for DCM buck-boost converters

Lockheed Martin, Moorestown, NJ, USA
IEEE Transactions on Industrial Electronics (Impact Factor: 6.5). 07/2004; DOI: 10.1109/TIE.2004.825204
Source: IEEE Xplore

ABSTRACT Comprehensive analyses for the buck-boost, pulse width modulation DC/DC converters applying peak current current-mode control are given. The analysis provides closed-form solutions for steady-state output, small-signal loop gain, and conducted susceptibility. It also proves that the state-space averaged model developed for converter using a single-loop voltage-mode control is valid for a current-mode-controlled converter.

1 Bookmark
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a mode-selectable synchronous buck DC-DC converter with high efficiency and low quiescent current is proposed, which is suitable particularly for use as an Li-ion battery charger. The high efficiency is obtained by applying dynamic power management technology under light load, which makes some modules of the chip enter into sleep state and the quiescent current of the whole chip down to 45 μA. At the same time, power metal-oxide semiconductor (MOS) devices are also shut down to decrease the dissipation of the system. A simple loop compensation method is also proposed, which can eliminate the influence brought by the high equivalent resistance of the output's capacitor on the stability of the system loop. The converter has been made with a 0.5- μm complementary MOS process. Experimental results show that the peak efficiency is 94% at an output current of 100 mA when the supply voltage is 2.7 V. Moreover, the output voltage can recover within 14 μs at 400-mA load step.
    IEEE Transactions on Industrial Electronics 05/2014; 61(5):2278-2285. · 6.50 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Improved pulse regulation (IPR) control, a novel control technique for switching dc-dc converters, is proposed and studied in this paper. According to the output voltage and load current of the switching dc-dc converter, IPR control technique achieves output voltage regulation by generating control pulse train made up of some preset control pulses with different duty ratios. IPR control needs only comparators, triggers, and some simple logic devices, without error amplifier and the corresponding compensation circuit of pulse width modulation control scheme, thus IPR control scheme is easy to realize, benefits with excellent transient performance and stability. The principle and operation of IPR control scheme are introduced and illustrated with buck converter operating in discontinuous conduction mode as an example. Simulation and experimental results are presented to show that IPR-controlled converter has much lower output voltage ripple and more accurate output voltage regulation than PR converter.
    IEEE Transactions on Industrial Electronics 05/2013; 60(5):1819-1830. · 6.50 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this study, an adaptive fuzzy-neural-network control (AFNNC) scheme is designed for the voltage tracking control of a conventional dc-dc boost converter. First, a total sliding-mode control (TSMC) strategy without the reaching pahse in the conventional SMC is developed for enhancing the system robustness during the transient response of the voltage control. In order to alleviate chattering phenomena caused by the sign function in TSMC design and reduce the dependence on detailed system dynamics, it further designs an AFNNC scheme to imitate the TSMC law for the boost converter. In the AFNNC scheme, on-line learning algorithms are derived in the sense of Lyapunov stability theorem and projection algorithm to ensure the stability of the controlled system without the requirement of auxiliary compensated controllers despite the existence of uncertainties. The output of the AFNNC scheme can be easily supplied to the duty cycle of the power switch in the boost converter without strict constraints on control parameters selection in conventional control strategies. In addition, the effectiveness of the proposed AFNNC scheme is verified by numerical simulations, and its advantages are indicated in comparison with the TSMC strategy.
    Neural Networks (IJCNN), The 2012 International Joint Conference on; 01/2012

Preview (2 Sources)

Available from