Improved digital peak current predictive control for switching DC–DC converters

Zhou, Guohua; Xu, Jianping; Ye, Jin

doi:10.1049/iet-pel.2009.0180

Cited by 47 publications

(65 citation statements)

References 14 publications

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“…According to this table, the SSA-PID algorithm has advantages in terms of hardware cost and transient response compared with the controllers in references [16], [17] and the LTC3530 chip. …”

Section: Experimental Results Of the Ssa-pid Algorithmmentioning

confidence: 99%

Analysis and Design of a Separate Sampling Adaptive PID Algorithm for Digital DC-DC Converters

Chang¹,

Zhao²,

Xu³

et al. 2016

Journal of Power Electronics

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Based on the conventional PID algorithm and the adaptive PID (AD-PID) algorithm, a separate sampling adaptive PID (SSA-PID) algorithm is proposed to improve the transient response of digitally controlled DC-DC converters. The SSA-PID algorithm, which can be divided into an oversampled adaptive P (AD-P) control and an adaptive ID (AD-ID) control, adopts a higher sampling frequency for AD-P control and a conventional sampling frequency for AD-ID control. In addition, it can also adaptively adjust the PID parameters (i.e. K p , K i and K d ) based on the system state. Simulation results show that the proposed algorithm has better line transient and load transient responses than the conventional PID and AD-PID algorithms. Compared with the conventional PID and AD-PID algorithms, the experimental results based on a FPGA indicate that the recovery time of the SSA-PID algorithm is reduced by 80% and 67% separately, and that overshoot is decreased by 33% and 12% for a 700mA load step. Moreover, the SSA-PID algorithm can achieve zero overshoot during startup.

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Section: Experimental Results Of the Ssa-pid Algorithmmentioning

confidence: 99%

Analysis and Design of a Separate Sampling Adaptive PID Algorithm for Digital DC-DC Converters

Chang¹,

Zhao²,

Xu³

et al. 2016

Journal of Power Electronics

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show abstract

“…From Figure 10 we get: (30) where: (34) By substituting g 2 ·V g or j 2 ·θ for I e in Equation (34) (36) Additional subscript "D" refers to DCM mode; symbol "E" in brackets, to the name of first author of book [1]. Quantities in (35) and (36) may be obtained from Equations (23)- (29) …”

Section: Small-signal Transmittances Resulting From Models Given In [1]mentioning

confidence: 99%

“…In many sources discussing the dynamic characteristics of switching converters, the influence of parasitic effects is neglected (for example [1,4,5,16,[21][22][23][24][25]) or considered only to a limited extent [26][27][28][29][30][31][32][33][34], for example -by including only a part of parasitic resistances. In textbook [2] and in some papers, for example [6,8,13,35], the parasitic effects in power stage are represented by resistances in series with each ideal component of converter.…”

Section: The Influence Of Parasitic Resistances On Small-signal Transmentioning

confidence: 99%

Small-signal transmittances of DC-DC step-down PWM converter in various operation modes

Janke¹

2015

Archives of Electrical Engineering

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Small-signal transmittances: input-to-output and control-to-output of BUCK converter power stage working in CCM or DCM mode are discussed. Ideal converter case and converter with parasitic resistances are considered separately. Derivations of small-signal transmittances, based on different approaches to finding the converter averaged models, are presented and the results are compared. Apart from theoretical considerations, some results of numerical calculations are presented. θ -small-signal representation of duty ratio in s-domain, CCM -continuous conduction mode, DCM -discontinuous conduction mode.

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“…This comparison is summarized in Table V. It shows that the proposed MA-PID control algorithm achieves a better load step response than those of references [23]- [25] and a LTC3530 chip under the condition of reduced hardware requirements.…”

Section: Fpga Implementation Of the Ma-pid Control Algorithmmentioning

confidence: 94%

An FPGA-Based Modified Adaptive PID Controller for DC/DC Buck Converters

Ling¹,

Chang²,

Zhou³

et al. 2015

Journal of Power Electronics

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On the basis of the conventional PID control algorithm, a modified adaptive PID (MA-PID) control algorithm is presented to improve the steady-state and dynamic performance of closed-loop systems. The proposed method has a straightforward structure without excessively increasing the complexity and cost. It can adaptively adjust the values of the control parameters (K p , K i and K d ) by following a new control law. Simulation results show that the line transient response of the MA-PID is better than that of the adaptive digital PID because the differential coefficient K d is introduced to changes. In addition, experimental results based on a FPGA indicate that the MA-PID control algorithm reduces the recovery time by 62.5% in response to a 1V line transient, 50% in response to a 500mA load transient, and 23.6% in response to a steady-state deviation, when compared with the conventional PID control algorithm.

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Improved digital peak current predictive control for switching DC–DC converters

Cited by 47 publications

References 14 publications

Analysis and Design of a Separate Sampling Adaptive PID Algorithm for Digital DC-DC Converters

Analysis and Design of a Separate Sampling Adaptive PID Algorithm for Digital DC-DC Converters

Small-signal transmittances of DC-DC step-down PWM converter in various operation modes

An FPGA-Based Modified Adaptive PID Controller for DC/DC Buck Converters

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