Essential Circuits for System Design is a comprehensive course that integrates power electronics, physical systems, and digital control and other disciplines. The primary focus is on emphasizing practical experience to build engineering confidence. The course is composed of theory and also practicals through remote lab.
He is a Professor at the Department of Electronics System Engineering (DESE) of Indian Institute of Science, Bangalore. His areas of expertise include power electronics, renewable energy systems, photovoltaic-based systems, power conversion, and bond graph modelling. He has contributed significantly to teaching, research, and development in electronic systems engineering, with a strong focus on practical and sustainable energy technologies.
The primary objective of the Essential Circuits for System Design course is tonteach students how to design, model, and implement integrated systems thatnbridge power electronics, physical system modeling, and digital control
Integrated design of power supplies, physical system modeling, controlalgorithms, and signal conditioning for electromechanical plants
Design of DC power supplies, including transformer-rectifier capacitor circuits, linear voltage regulators, covering op-amp-based feedback control loops, start-up circuits,and advanced protection mechanisms like foldback current limiting
Thermal management, calculate junction temperatures and design appropriate heat sinks using thermal resistance models, physical system modeling using Bond Graphs, for electrical, mechanical, and hydraulic systems, extract state-spacenequations, modeling is applied to practical electromechanical devices, including solenoids and relays, high-speed switching and power electronics protection, specifically focusing on device stress within the Safe OperatingnArea (SOA), turn-off and turn-on snubber circuits (RC and L-R-D networks), Pulse Width Modulation (PWM), including edge modulation types (leading,ntrailing, center-pulse), steering logic for bridge topologies, and implementation of dead time (blanking time)
Digital Signal Processing (DSP) and control domain, microcontroller programming for real-time systems using interruptndriven templates to ensure robust performance
Z-transform for discrete-time analysis, mapping continuous S-plane poles to the discrete Z-plane
FIR and IIR digital filters, moving average glitch filters, and discrete integration rules like Euler and Tustin, PI controller implementation, anti-windup algorithms (both digital and analog), and feedforward scaling to manage plant non-linearities
Magnetics and Analog Signal Processing (ASP), ASP topics focus on op-amp error budgeting, accounting for bias currents, offset voltages, and temperature drifts to achieve precision amplification, signal transmission techniques, suchnas 4-20mA current transmitters, and the design of second-order Sallen-Key filters for anti-aliasing