Industrial Electronics
An Improved Boost Topology According to the Voltage Lift Technique

reza hazratian; Ebrahim Afjei

Articles in Press, Accepted Manuscript, Available Online from 11 June 2025

https://doi.org/10.22111/ieco.2025.50700.1652

Abstract
  This paper introduces a high-gain, non-isolated DC-DC converter featuring a single switch and a straightforward driving circuit. The proposed topology employs a super-lift Lou converter beside inductor-based and capacitor-based voltage multiplier cell to enhance the voltage lift technique. The voltage ...  Read More

Industrial Electronics
Comparisons between Generalized Predictive Control and Linear Controllers in Multi-Input DC-DC Boost Converter

Mohsen Ehsani; Masood Saeidi; Hamid Radmanesh; Adib Abrishamifar

Volume 3, Issue 1 , January 2020, , Pages 27-34

https://doi.org/10.22111/ieco.2019.28584.1135

Abstract
  In this paper, the linear state-space model of the multi-input DC-DC boost converter is obtained and based on, a linear SISO model is calculated. Model predictive control (MPC) offers a novel method of designing in the power electronic converters. The application to DC-DC converters offers real benefits ...  Read More

Industrial Electronics
Efficiency improvement and inrush current reduction in a non-isolated DC-DC converter

Saeid Moosavi

Volume 2, Issue 2 , April 2019, , Pages 137-144

https://doi.org/10.22111/ieco.2018.25890.1059

Abstract
  DC–DC boost converters are unable to provide high step-up voltage gains due to the effect of power switches, rectifier diodes, and the equivalent series resistance of inductors and capacitors. A high step-up DC-DC converter based on the modified SEPIC converter is presented in this paper. Step ...  Read More

Industrial Electronics
Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter

Mahdi Heidari

Volume 1, Issue 2 , September 2018, , Pages 115-120

https://doi.org/10.22111/ieco.2018.23973.1008

Abstract
  The power generation from wind turbine are variable because of dependence on environmental conditions and it is important to extract maximum energy from wind. This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate ...  Read More