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.

本文提出了一种基于自调节智能模糊逻辑控制器（STIFLC）的减少组件双输入九电平开关电容器多电平逆变器，用于感应加热（IH）应用。此外，在本工作中，采用参考上升时间和目标温度的设置来生成曲线生成器，作为模糊逻辑控制器（FLC）的反馈参考。为了实现这一目标，必须根据系统要求固定 FLC 中的不同量化因子。为了解决这个缺点，对所有量化因子进行了精确分析，并设计了 STIFLC，它能够控制感应加热温度并实时执行。此外，还比较了传统FLC和STIFLC的控制性能，并导出了功率损耗方程，该方程决定了系统效率。最后，在包含 IH 系统的 5kVA 逆变器原型上进行了仿真和实验测试，以确认所提出系统的效力。研究结果特别表明，所提出的 STIFLC（包括多电平逆变器）显着提高了控制器的适应性和控制能力。