M.Sc. Mirza Begh introduces a novel technique in his dissertation, entitled Gradient-Based Predictive Pulse Pattern Control (GP3C). This approach integrates optimized pulse patterns (OPPs) with direct model predictive control (MPC), achieving minimal stator current distortion and fast transient responses in medium-voltage electric drives.
The study reports a 40 % reduction in stator current total demand distortion (TDD) at low switching frequencies and over 20 % shorter settling times during transients, compared to traditional methods such as field-oriented control with space vector modulation.
"By leveraging the strengths of both OPPs and MPC, we can significantly enhance the efficiency and performance of medium-voltage drives, which are pivotal for industrial applications and sustainable energy systems," says Mirza Begh.
The research improves key performance metrics
The dissertation combines cutting-edge advancements from power electronics, control theory, and mathematical optimization to create a unique motor drive control solution that surpasses existing techniques. The GP3C technique simultaneously addresses multiple control objectives in a single computational stage, demonstrating high design versatility.
The research highlights its importance in enhancing key performance metrics, including current quality and settling times, in medium-voltage drives, which are extensively used across various industrial sectors. The proposed control strategy has been validated through simulations, hardware-in-the-loop testing, and experimental evaluations on a small-scale laboratory prototype.
"The results indicate a promising pathway toward industrial implementation, contributing to decarbonization, electrification, and effective control of power electronic systems,” says Begh.
Public defence on Wednesday 29 January
The doctoral dissertation of M.Sc. Mirza Begh in the field of Electrical Engineering titled Gradient-Based Predictive Pulse Pattern Control of Induction Machine Drives will be publicly examined at the Faculty of Information Technology and Communication Sciences at Tampere University at 12 o’clock on Wednesday 29th of January 2025 at Hervanta campus, Festia, auditorium FA032, Pieni Sali 1 (Korkeakoulunkatu 8, 33720 Tampere).
The Opponent will be Professor Georgios Papafotiou from Eindhoven University of Technology, The Netherlands, and the Custos will be Associate Professor Petros Karamanakos from Faculty of Information Technology and Communication Sciences, Tampere University.
The doctoral dissertation is available online.
The public defence can be followed via remote connection.