March 20, 2025
The Power Conversion and Motion Control (PCMC) Laboratory, led by Prof. Ton Duc Do at the Department of Robotics, School of Computing and Artificial Intelligence, conducts interdisciplinary research at the intersection of advanced control, robotics, artificial intelligence, renewable energy, and biomedical engineering. The laboratory’s research focuses on nonlinear and disturbance-observer-based control of electric machines and robotic systems; AI-enabled wind and renewable energy forecasting, optimization, and management; wind–solar hybrid microgrids and grid stability; autonomous and intelligent robotic systems; and magnetic particle imaging and electromagnetic actuation for targeted drug delivery. The PCMC Laboratory integrates advanced control theory, data-driven and machine-learning methods, numerical modelling, hardware-in-the-loop validation, and experimental studies to develop intelligent, reliable, and high-performance engineering systems for energy, robotics, and biomedical applications.
Disturbance observers, sliding-mode control, and optimal control for precision motion systems.
Motor drives, traction control, and motion planning for EVs and autonomous mobile robots.
Wind energy conversion, solar integration, microgrid management, and smart grid technologies.
Anti-sway control, trajectory tracking, and safety systems for crane and lifting applications.
Magnetic Particle Imaging, nanorobot control, and targeted drug delivery systems.