Modeling, Design and Control of Electric Machines
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 74073
Special Issue Editors
Interests: enhanced control machine drives; sensorless control; electric and thermal online estimators; advanced models for diagnosis; advanced testing; mode-based software development and validation; railway applications
Special Issues, Collections and Topics in MDPI journals
Interests: electric machine design for specific applications; electric machine design and control for new drives based on SiC and GaN semiconductors; electric machine design for manufacturing and maintenance; elevators and industrial application
Special Issues, Collections and Topics in MDPI journals
Interests: new topologies of machines; advanced modeling; electromagnetic materials; new numerical and analytical modeling techniques; optimization techniques; electric vehicles and aerospace applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Electric machines (motors and generators) are key elements for efficient and sustainable use of energy. The new market trends for the electrification of road vehicles as well as aircraft, the increase in energy efficiency, and the development of various sustainable energy sources require innovations in the design and control of electric machines. New magnetic materials, new drives with SiC and GaN semiconductors, and advanced multiphysics modeling and simulation techniques are some of the enabling technologies required to obtain high performance, higher reliability, and cost-effective solutions.
This Special Issue focuses on innovations in the context of “Modeling, Design and Control of Electric Machines”.
Topics of interest for this Special Issue include, but are not limited to:
- New topologies of machines;
- Electric machine design and control optimization for the new drives based on SiC and GaN semiconductors;
- Electric machine optimization;
- Advanced modeling (electromagnetic, thermal, NVH, mechanical, EMC, insulation, etc.);
- Advanced models for diagnosis;
- Electromagnetic materials, iron losses, additional losses;
- System-level modeling, multidomain automatic analysis tools, co-simulations, etc.;
- New numerical and analytical modeling techniques;
- Optimization techniques;
- Advanced testing (multiphysics performances, standard tests, life accelerated testing, etc.);
- Electric machine design for control;
- Electric machine design for specific applications (electric vehicles, aerospace, wind energy, railway, etc.);
- Electric machine design for manufacturing (tolerances analysis, manufacturing processes, quality control, etc.);
- Electric machine design for maintenance (reliability analysis, robust design, fault modeling, etc.);
- Lifetime estimation, life cycle cost (LCC), life cycle assessment (LCA);
- Enhanced control schemes for AC and DC machine drives;
- New modulation schemes for AC and DC machine drives;
- Sensorless control for machine drives;
- Fault-tolerant control strategies for AC and DC machine drives;
- New adaption techniques to estimate state variables and parameters;
- Offline and online tuning for AC and DC machine drives;
- Online temperature estimators and derating functions (thermal models, electric resistance estimators, hybrid schemas, advanced strategies for dynamic machine derating, etc.);
- Control optimization according to HW constraints (low-cost sensors, computational load optimization, optimized switching frequency pattern, noise immunity, etc.);
- Control optimization for a reduced torque ripple or NVH levels (active compensation, optimal parametrization, etc.);
- Application-oriented drive controls (electric vehicles, aerospace, wind energy, railway, etc.);
- Model-based software development and validation for machine drives (MiL, SiL, PiL, HiL, automated code generation, etc.);
- V-model schemas for the development of electric machines and drives;
- Virtual modeling and validation of electric machines and drives.
Dr. Gaizka Almandoz
Dr. Gaizka Ugalde
Guest Editors
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Keywords
- electric machines
- motor drives
- multiphysics modeling
- design for manufacturing and maintenance
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