A Self Tuning Fuzzy Control Based Dual Input Nine-Level Self Balancing Switched-Capacitor Inverter for Induction Heating Applications

Abstract

This paper proposes a self tuning intelligent fuzzy logic controller (STIFLC) based reduced component dual input nine-level switched-capacitor multilevel inverter for induction heating (IH) applications. Moreover, to generate the curve producer referring to setting of rise time along with target temperature as being a feedback reference to the fuzzy logic controller (FLC) is adopted in this work. To acquire this goal different quantization factors in FLC must be fixed as per the system requirement. To address this drawback all the quantization factors are analysed precisely and STIFLC is designed which is capable for controlling the induction heating temperature and to perform in real time situation. Additionally, the control performance of traditional FLC and STIFLC is compared and power loss equations are derived which determines the system efficiency. Finally, simulation and experimental tests were carried out on a 5kVA inverter prototype including the IH system to confirm the potency of the proposed system. The findings demonstrate particularly the proposed STIFLC including multilevel inverter significantly increased the controllers adaptability and control capacity.