Analysis and Implementation of Positive Output Super Lift Converter Using Artificial Neural Network with
Sliding Mode Controller

Venkataramani VENKATESH^*, Chokkalingam KAMALAKANNAN
Department of EEE, Rajalakshmi Engineering College, Tamilnadu, India
vvvsh1986@gmail.com (*Corresponding author), kamalakannan.c@rajalakshmi.edu.in

Abstract: This paper proposes the control of split capacitor type elementary additional series positive output super lift converter (SEPOSLC) by using artificial neural-network (ANN) with sliding mode controller. This converter implements the output voltage increase in geometric sequence and enhances the voltage transfer gain in power law. The ANN controller is trained to control the converter so that it produces constant output voltage irrespective of change in the input voltage. ANN with sliding mode control (SMC) is proposed for this converter with a view to controlling voltage ripple. The precision of the proposed system is analyzed in comparison with various controllers such as the ANN controller, Fuzzy logic controller, and conventional PI controller. In order to validate the effectiveness of the proposed system, it is implemented in hardware with linear and nonlinear loads.

Keywords: ANN, ANN with sliding mode controller, BLDC motor, FLC, PI, SEPOSLC.

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CITE THIS PAPER AS:
Venkataramani VENKATESH, Chokkalingam KAMALAKANNAN, Analysis and Implementation of Positive Output Super Lift Converter Using Artificial Neural Network with Sliding Mode Controller, Studies in Informatics and Control, ISSN 1220-1766, vol. 29(3), pp. 373-383, 2020. https://doi.org/10.24846/v29i3y202010