A multi-input, multi-output power management unit using dickson charge pump for energy harvesting applications

Mahmoud, Abdulqader; Alhawari, Mohammad; Mohammad, Baker; Saleh, Hani; Ismail, Mohammed

doi:10.1109/mwscas.2016.7870079

Cited by 3 publications

(2 citation statements)

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“…where m is the ratio time of the Mode 1 to the Mode 3, d1 path and (1 − D) path are the number of inductor current paths through the diodes in d1T and (1 − D) T time intervals, respectively. Substituting ( 12) into (7), The averaged statespace model of the converter obtained: ( 14)- (17), as shown at the bottom of the next page.…”

Section: Dynamic Modeling Of the Cf-dvmmentioning

confidence: 99%

“…In response to these issues, an inductor or current source can be integrated into the SC converters, also leading to soft switching of semiconductor switches and enhanced efficiency [1], [2], [13]. The SC converters applications include high side MOSFET gate drive circuitry [2], battery charge stabilization [14], high-efficiency DC/DC converters [11], photovoltaic (PV) interface systems [15], power supply processors, flash memory [13], fuel cell (FC) [16], energy extraction [17], and IoT systems [18].…”

Section: Introductionmentioning

confidence: 99%

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Dynamics and Model Predictive Control of Current-Fed Dickson Voltage Multiplier: TS Fuzzy Approach

et al. 2022

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This study presents a new approach to modeling and control the current-fed Dickson voltage multiplier (CF-DVM). The capacitor voltage relation and the input current are obtained. As all switching intervals are considered in detail, a highly accurate dynamic model is obtained, which can be easily extended for a CF-DVM with an arbitrary number of stages. Using the precise extracted model, the Takagi-Sugeno fuzzy model (TSFM) of the CF-DVM is provided, which is an exact equivalent representation of the CF-DVM nonlinear model. Then, a highly accurate and responsive model predictive controller (MPC) is designed based on an obtained TSFM of the CF-DVM to control the output voltage in an optimal and constrained manner. To obtain the control signal, the suggested optimization problem is converted to a quadratic programming (QP)-based problem which has a low online computational burden. Moreover, the performance of the proposed MPC is compared with the PI controller and the linear MPC. Finally, the simulation and experimental results demonstrate the promising merits of the proposed model and control approaches. INDEX TERMSDC-DC boost converter, current-fed Dickson voltage multiplier, TS fuzzy model, model predictive control.

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Section: Dynamic Modeling Of the Cf-dvmmentioning

confidence: 99%