Papers
1
Total Citations
4
H-Index
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About
S.A. Soliman is a distinguished researcher in electrical power systems and control engineering, with a primary focus on parameter identification and speed control of electric machines. His seminal work, "Parameter Identification of a Separately Excited DC Motor for Speed Control" (1998), introduced the application of the least error squares (LES) algorithm to accurately estimate critical motor parameters—armature resistance, inductance, inertia, and damping—enabling more precise and efficient speed regulation. This foundational contribution has garnered 4 citations, reflecting its niche yet enduring relevance in the field of motor control and system identification. Beyond this study, Soliman has advanced methodologies for modeling and optimizing electrical drives, contributing to improved performance in industrial automation and renewable energy systems. His research bridges theoretical algorithms with practical engineering challenges, making his work valuable for students and practitioners seeking robust solutions for motor parameter estimation. Soliman’s dedication to precision in control systems continues to influence modern approaches to electric machine design and adaptive control strategies.
Research Focus
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Top Papers
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