Intelligent Control of Electric Motor Drives: Emerging Techniques for Next-Generation Sustainable Electrified Systems

Submission Deadline: 01 September 2026 View: 1163 Submit to Special Issue

Guest Editors

Prof. Dr. Waheed Sabry

Email: admin@infomesr.org

Affiliation: Electrical Power and Energy Department, Military Technical College (MTC), Cairo, Egypt

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Research Interests: electrical power and energy systems' dynamics, control and stability

Prof. Dr. Ragab El-Seheimy

Email: elsehiemy@eng.kfs.edu.eg

Affiliation: Kafr El Sheikh University, Kafr El Sheikh, Egypt

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Research Interests: power-system operation, planning and control, smart grids, renewable energy, AI and its application to power systems and electrical machines

Prof. Dr. Ahmed Yakout

Email: ahmed.yakout@eng.asu.edu.eg

Affiliation: Ain-Shams University, Cairo, Egypt

Homepage:

Research Interests: power systems and electrical machines control

Summary

This proposal sets out a special issue on "Electric Motor Control" to highlight the latest developments in control strategies, efficiency improvements, and applications amid growing demand for electric vehicles, industrial automation, and renewable energy integration.

This topic covers advanced control techniques and technologies for electric motors, including field- oriented control (FOC), direct torque control (DTC), model predictive control (MPC), and AI- driven methods for fault- tolerant and sensorless operation. It also addresses integration with wide-bandgap semiconductors such as silicon carbide (SiC), thermal/electromagnetic interference management, predictive maintenance via the Internet of Things (IoT) and data analytics, and applications in high-voltage electric vehicle systems, high-speed motors, and smart manufacturing. The focus is on energy efficiency, harmonics reduction, and flexible designs to achieve sustainability and meet the demands of the Fourth Industrial Revolution.

Controlling electric motors is a key element in improving performance in modern electrification. Recent innovations focus on precise torque and speed regulation, software-defined architectures, and real-time monitoring to minimize losses and enable over-the-air updates. This special issue calls for original research on emerging trends, such as the evolution of vector control, intelligent energy management, and multi-physics simulations for electric vehicles and industrial motors, based on anticipated advancements in high-efficiency systems during 2025–2026. These contributions will contribute to enhanced reliability, reduced operating costs of up to 30% through intelligent diagnostics, and support global sustainability goals.

We invite original research articles and comprehensive reviews covering, but not limited to, the following topics:
- Field-Oriented Control (FOC)
- Direct Torque Control (DTC)
- Model Predictive Control (MPC)
- Sensorless Control
- Electric Vehicle Drives
- Wide-Bandgap Semiconductors (SiC)
- Predictive Maintenance
- Thermal/EMI Management
- AI/ML in Motor Control
- Integrated Motor Drives

Keywords