Advanced Control and Optimization of Electric Drive Systems

Dear Colleagues,

Electric drive systems are the cornerstone of modern industrial automation, renewable energy generation, and electric transportation. The continuous pursuit of higher performance, efficiency, and reliability has driven the rapid development of advanced control and optimization strategies. These strategies are pivotal in pushing the boundaries of system capabilities, enabling superior dynamic response, enhanced robustness, and the integration of electric drives into increasingly complex and interconnected systems.

This Special Issue, titled “Advanced Control and Optimization of Electric Drive Systems”, aims to present a collection of cutting-edge research and comprehensive reviews on novel control theories and their practical applications in modern electric drives. Topics include, but are not limited to, theoretical developments and/or experimental validations in the following areas:

• Sensorless control of induction motors;
• Advanced control of open-winding motor drives;
• Model predictive control of permanent magnet synchronous motors;
• Vibration and noise suppression in electric machines;
• Flux-weakening control for extended speed operation;
• Multi-phase motor control and modulation strategies;
• Advanced modulation and control for multi-level converters;
• High-fidelity modeling and parameter identification for control;
• AI-enhanced and data-driven control techniques for electric drives;
• Thermal management and loss optimization through control;
• Fault-tolerant control strategies for improved system reliability.

We cordially invite researchers and engineers from both academia and industry to contribute their original work to this Special Issue.

Dr. Wentao Zhang
Dr. Cheng Luo
Dr. Chunyang Jiang
Guest Editors

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