Qualification
Biography
Dr. Anunciya Joshua is a dedicated academic and researcher with over eight years of experience in teaching and research in electrical engineering.
She holds a Ph.D. in Electrical Engineering from Anna University, where her research focused on "Voltage Vector Optimization-Based Predictive Torque Controller for Matrix Converter Fed PMSM Drive with Reduced Torque Ripple." Her doctoral work aimed at enhancing the performance of electrical drive systems by optimizing power converter devices to achieve smooth and ripple-free adjustable speed control.
She holds a Master’s degree in Power System Engineering and Bachelor’s degree in Electrical and Electronics Engineering from Anna University, solidifying her expertise in electrical systems and advanced power control and power system technologies.
She began her academic career as an Assistant Professor, where she contributed significantly to lecturing, curriculum development, student mentorship, and research initiatives. She later served as an Academic and Research Associate in the Department of Electrical and Electronics Engineering at Anna University, where she was actively involved in lecturing, pioneering research projects, publications, and industry collaborations.
Dr. Anunciya Joshua is passionate about advancing the field of power electronics, with a particular focus on motor drives, predictive control strategies, and energy-efficient power conversion systems. Her contributions continue to influence the development of next-generation electrical drive technologies.
Research Focus
• Matrix Converter fed Model Predictive Torque Control
• Direct Torque Control
• Matrix Converter Modulation
• Motor-induced vibration reduction on ship superstructures
• Integration of power converters in renewable energy systems
Teaching
Undergraduate
Power Systems
Electrical Protection
Power system analysis
Control Systems
Power electronics drives
Electrical Engineering Fundamentals
Electrical Machines
Power system operation and control
Postgraduate
Matrix Converter
Masters’ thesis on
1. Model predictive torque control
2. Voltage vector optimisation of prediction vectors
3. Space vector modulation of matrix converters
4. Congestion management in deregulated power systems
5. Implementation of FACTS devices in deregulated power systems
Publications
Industrial projects
1. Reduced Acoustic Noise and Mechanical Vibrations of Electrically propelled Naval Vehicle using Matrix Converter - Direct Torque Control Method.
2. Design and Implementation of an Innovative Direct Torque Control based Model Predictive Torque Control Strategy for the Matrix Converter - PMSM Drive for Hybrid Commercial Electric Vehicle Applications with reduced Torque and Flux ripples.
3. Design and Evaluation of a voltage vector optimization Strategy for PMSM based Electric Propulsion System for marine vehicles.
Peer-reviewed articles
1. J.D. Anunciya and A. Sivaprakasam, “Improved Active Vector Optimization Strategy-based Model Predictive Torque Control for Matrix Converter-Fed PMSM with Reduced Torque and Flux Ripples'', Optimal Control Applications and Methods, Pages: 1–23, 2025. https://doi.org/10.1002/oca.3246
2. J.D. Anunciya and A. Sivaprakasam, “A novel lookup table based model predictive torque control strategy using matrix converter suitable for permanent magnet synchronous motor fed marine electric propulsion drives'', Optimal Control Applications and Methods, Vol. 43, Issue: 5, Pages: 1520-1545, 2022. https://doi.org/10.1002/oca.2906
3. J.D. Anunciya and A. Sivaprakasam, ''A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control based model predictive torque control for matrix converter fed permanent magnet synchronous motor'', Transactions of the Institute of Measurement and Control, Vol. 44, Issue: 9, Pages: 1887-1903, 2022. https://doi.org/10.1177/01423312211068811
4. A. Sivaprakasam and J.D. Anunciya, “A Survey on Matrix Converter fed Direct Torque Control Techniques for AC Machines”, IETE Journal of Research, Vol. 68, Issue: 1, Pages: 42-58, 2022. https://doi.org/10.1080/03772063.2019.1583082
5. Uma.V, P. Lakshmi and J.D. Anunciya, “Congestion Management in Deregulated Power System by Fuzzy Based Optimal Location and Sizing of Unified Power Flow Controller”, WSEAS Transactions on Power Systems, Vol. 9, Pages: 258 – 266, 2014. https://www.wseas.org/multimedia/journals/power/2014/a06 5716-189.pdf
6. B. Balaji and J.D. Anunciya, “Model Predictive Control based Direct Matrix Converter fed Permanent Magnet Synchronous Machine drives for Traction and Electric Mobility Applications”, ARAI Journal of Mobility Technology, Vol. 2, Issue: 1, Pages: 140-151, 2022. https://doi.org/10.37285/ajmt.1.1.8
Conference Publications
1. J.D. Anunciya, Uma. V, P. Lakshmi, 2013 “Congestion Management in Hybrid Electricity Markets with Loadability Limits using Particle Swarm Optimization”. International Conference on Innovations in Intelligent Instrumentation, Optimization and Signal Processing.
2. Ansilla. J. D, N. Vasudevan, J. Jayachandra Bensam, J.D. Anunciya, 2015 “Data Security in Smart Grid with Hardware Implementation Against DoS Attacks”. International IEEE Conference on Circuit, Power and Computing Technologies.
