Electric Drive Control Using Fractal and Fractional Calculus

Dear Colleagues,

Electric drive control systems are based on the classic field-oriented control (FOC) sensor architecture; however, to achieve a sensorless system, a speed observer is used together with improved variants.

In particular, the performance of control systems can be improved by using algorithms and concepts from fractional calculus to model and design them. These design approaches also provide additional flexibility and control for electric drive control. This Special Issue covers topics on the modeling, design, analysis, and control of fractional-order systems for electric motor drives and associated power electronic converters.

In addition, it has recently been hypothesized that the more efficient the control system, the greater the fractal size of the controlled signal. We propose the challenge of demonstrating this conjecture indirectly by comparing classical controller performance indicators. This Special Issue proposes to bring together researchers, scientists, and engineers from academia and industry, so as to disseminate ideas and results related to the use of advanced techniques of fractional calculus for electric drive control. Potential topics include but are not limited to:

• Fractional-order circuit theory;
• Fractional-order simulation of systems with power electronic converters;
• Fractional-order simulation of systems with electric drive control;
• Artificial intelligence applications in the fractional-order control of electric drive control;
• Robust control of fractional-order control of electric drive control;
• Energy efficiency in fractional-order energy systems;
• Stability issues in fractional-order energy systems. 

Dr. Marcel Nicola
Prof. Dr. Dan Selisteanu
Prof. Dr. Cosmin Ionete
Guest Editors

Manuscript Submission Information

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• fractional-order system
• fractals
• electric drive control
• energy storage system
• power electronic converters
• stability analysis
• fractional calculus