Autonomy Oriented Computation for Direct AC-AC Cascaded Boost Converter Titas Kumar Nag, Avik Datta, and Pradip Kumar Sadhu Abstract Techno-economic analysis of full/half bridge inverter-based domestic induction heating system is required to achieve low unit cost in near future. It may help to replace the existing liquid petroleum gas (LPG) system. This research focuses on techno-economic approach for direct AC-AC cascaded boost converter-based induc- tion heating system. In order to achieve better efficiency, losses of the inverter should be minimized. There are several procedures to minimize the loss. In this research work, autonomy-oriented approach has been adapted to achieve the goal. Proposed computation technique is implemented on a direct AC-AC cascaded boost converter. The proposed computation technique could be a better techno-economic solution for better output power. A flowchart is prepared to minimize the converter losses. Keywords Autonomy-oriented computation · Self-control strategy · Boost converter 1 Introduction There are many advantages of induction heating [1] over the other traditional heating techniques that can provide faster heating and improved efficiency [2, 3], consistency, advanced process quality and safety. Faraday’s law of induction is the main working principle of induction heating, and Joule’s heating effect is the main cause of heat production in workpiece. Different inverter topology can be utilized to get the desired output. Switching losses can be minimized through zero voltage switching (ZVS) or zero current switching (ZCS) operations. In order to obtain improved efficiency, soft- switching techniques can be utilized [4–6]. Most preferable operating frequency for T. K. Nag (B ) · A. Datta · P. K. Sadhu Electrical Engineering Department, Indian Institute of Technology (ISM), Dhanbad 826004, India e-mail: nag.titas@gmail.com A. Datta e-mail: avikdutta1985@gmail.com P. K. Sadhu e-mail: pradip@iitism.ac.in © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 A. Sikander et al. (eds.), Energy Systems, Drives and Automations, Lecture Notes in Electrical Engineering 664, https://doi.org/10.1007/978-981-15-5089-8_58 589