Special Session 5

Special Session: Motor Drive Systems and Intelligent Control

Motor Drive Systems and Intelligent Control

Motor drive systems are key enabling technologies for electric transportation, industrial automation, robotics, aerospace equipment, renewable energy systems, and intelligent manufacturing. Increasing application demands require higher efficiency, power density, dynamic performance, reliability, and fault tolerance, together with lower cost, acoustic noise, thermal stress, and computational burden. Meanwhile, advances in wide-bandgap power devices, embedded processors, sensing technologies, artificial intelligence, and digital engineering are providing new opportunities for the coordinated design and control of electric machines, power converters, and motion systems.

The Special Session on “Motor Drive Systems and Intelligent Control” aims to provide an international forum for researchers, engineers, and industry specialists to exchange recent progress in electric machine drives, power converter topologies, advanced control, condition monitoring, and intelligent optimization. The session welcomes contributions covering permanent-magnet machines, induction machines, synchronous reluctance machines, switched reluctance machines, multiphase machines, and other emerging electric machine technologies.

Relevant topics include current, torque, speed, position, and flux control; sensorless operation; field-weakening control; torque-ripple and acoustic-noise suppression; efficiency optimization; and robust operation under parameter variations and magnetic saturation. Research on advanced converter structures, fault-tolerant drives, integrated motor drives, and wide-bandgap-device-based systems is also encouraged.

Particular attention will be given to intelligent and data-driven methods, including model predictive control, adaptive control, sliding-mode control, machine learning, reinforcement learning, digital twins, online parameter identification, fault diagnosis, and predictive maintenance. Contributions combining physics-based models with learning-based techniques are especially welcome.

Experimental validation, real-time implementation, hardware-in-the-loop testing, and industrial applications are strongly encouraged. Through interdisciplinary exchange among specialists in electric machines, power electronics, control, artificial intelligence, and mechanical systems, this Special Session seeks to promote practical and reliable intelligent motor-drive technologies for future transportation, energy, manufacturing, and robotic systems.

Topics of the Special Session

  • Advanced electric machines and motor-drive converter topologies

  • High-performance and sensorless motor control

  • Intelligent, adaptive, and data-driven control methods

  • Fault diagnosis, reliability, and fault-tolerant operation

  • Motor-drive applications in transportation, robotics, energy, and industry

Chair:

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Haitao Sun, Taiyuan University of Technology, China

Co-chairs:

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Taoming Wang, Tsinghua University, China

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Shan He, Hefei University of Technology, China

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Chunqiang Liu, Xidian University, China

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