Open AccessGenetic algorithm assisted fixed frequency sliding mode controller for quadratic boost converter in fuel cell vehicle
Author(s) -
Mukkapati Ashok Bhupathi Kumar,
Krishnasamy Vijayakumar,
Kaur Rajvir
Publication year - 2020
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
eISSN - 2042-9746
pISSN - 2042-9738
DOI - 10.1049/iet-est.2019.0015
Subject(s) - control theory (sociology) , robustness (evolution) , ripple , sliding mode control , voltage , engineering , controller (irrigation) , electronic engineering , computer science , nonlinear system , physics , chemistry , electrical engineering , agronomy , control (management) , artificial intelligence , biology , biochemistry , quantum mechanics , gene
This study presents the quadratic boost converter (QBC) as a power electronic interface between the fuel cell (FC) stack and the DC bus of the FC vehicle (FCV). QBC provides the high voltage gain to interface the low voltage, high current and non‐linear FC stack to higher voltage DC bus of the proposed architecture. The output voltage of FC is variable and is a function of cell chemistry, load variations and atmospheric conditions. Therefore, a genetic algorithm assisted fixed frequency sliding mode controller (SMC) based two‐loop control strategy is proposed and developed in this study. The accuracy of the control signal generated by the SMC depends on the accuracy of reference current generation. Therefore, genetic algorithm tuned proportional–integral controller is proposed to generate the ripple‐free reference current generation which follows the load‐side or source‐side variations. Further, a control algorithm is integrated with SMC which uses the design constants such that the chattering amplitude is suppressed and generates the control signal with fixed frequency. Consequently, the dynamic performance of the proposed controller is compared in terms of the tracking error, control effort and sliding surface error. The extensive studies are carried out under different dynamic conditions to analyse the robustness of the proposed controller for QBC‐based FCV.