M.Tech in Power Electronics and Drives
Semester-wise syllabus for an M.Tech in Power Electronics and Drives
Semester 1:
Core Fundamentals
1. Power Semiconductor Devices
- Diodes, MOSFETs, IGBTs, Thyristors, SiC/GaN devices, thermal management.
2. Power Converters (AC/DC & DC/DC)
- Rectifiers, choppers, buck/boost converters, PWM techniques, resonant converters.
3. Electrical Machines and Drives
- DC/AC motor fundamentals, torque-speed characteristics, basic drive configurations.
4. Advanced Mathematics for Power Systems
- Transform methods, state-space analysis, optimization techniques.
5. Lab Work
- Converter simulation (MATLAB/Simulink), hardware prototyping (Buck/Boost), motor drive experiments.
Semester 2:
Advanced Power Electronics & Control
1. Inverters (DC/AC) and Multilevel Converters
- Single/three-phase inverters, SPWM, SVM, cascaded H-bridge topologies.
2. Digital Control of Power Electronics
- DSP/FPGA-based control, PID, sliding mode control, real-time implementation.
3. Renewable Energy Systems
- Solar/wind power integration, MPPT algorithms, grid-tied inverters.
4. Electric Vehicle Drives
- Battery management systems (BMS), traction motor drives (BLDC, PMSM).
5. Elective 1
- Options: FACTS/HVDC, Industrial Automation, Smart Grid Technologies.
6. Lab Work
- Grid-connected inverter design, DSP/FPGA programming, EV drive simulations.
Semester 3:
Specialization & Project Work
1. Advanced Motor Drives
- Vector control, DTC, sensorless control, PMSM/SRM drives.
2. Power Quality and Filters
- Harmonics mitigation, active/passive filters, power factor correction.
3. Elective 2
- Options: AI in Power Electronics, Wireless Power Transfer, Microgrid Systems.
4. Elective 3
- Options: High-Frequency Magnetics, Energy Storage Systems, Aerospace Power Systems.
5. Research Project (Phase 1)
- Proposal, simulation/experimental setup (e.g., design of a solar inverter or EV charger).
6. Lab Work
- Active filter implementation, motor drive control using dSPACE/TI kits, microgrid projects.
Semester 4:
Dissertation & Industry Integration
1. Dissertation/Thesis
- Focus areas: EV charging systems, renewable energy integration, advanced motor drives, or AI-based control.
2. Industry Internship/Collaboration (Optional)
- Projects with automotive, renewable energy, or industrial automation firms.
3. Seminar & Viva Voce
- Presentation of research, defense, and industry expert feedback.
Electives (Across Semesters 2–3)
- FACTS/HVDC: STATCOM, SSSC, HVDC transmission, reactive power compensation.
- AI in Power Electronics: Neural networks, fuzzy logic for predictive control.
- Wireless Power Transfer: Inductive/resonant coupling, EV charging applications.
- Energy Storage Systems: Battery/supercapacitor integration, hybrid storage topologies.
- Aerospace Power Systems: More-electric aircraft, DC microgrids, fault tolerance.
Tools & Software
- Simulation: MATLAB/Simulink, PLECS, PSIM, LTspice.
- Hardware: dSPACE, TI C2000/ARM microcontrollers, RT-LAB.
- Design: Altium Designer (PCB), ANSYS Maxwell (magnetics).
- Data Analysis: Python, Machine Learning libraries (TensorFlow, Scikit-learn).
Industry Applications
- Automotive: EV powertrains, fast-charging infrastructure.
- Renewable Energy: Solar/wind inverters, grid stability solutions.
- Industrial Automation: Variable frequency drives (VFDs), robotic systems.
- Consumer Electronics: Switched-mode power supplies (SMPS), wireless charging.