Photo of Shady Gadoue
    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    20142019
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    Personal profile

    Research Interests

    • Electric systems in transportation
    • Control techniques applied to motor drives systems
    • State and parameter identification algorithms
    • Energy conversion and power electronic systems

    Contact Details

    Phone number: +44 (0) 121 2043883
    Email: s.gadoue@aston.ac.uk
    Room number: NW417

    Education/Academic qualification

    PhD, Newcastle University

    Fingerprint Dive into the research topics where Shady Gadoue is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2014 2019

    A Sensorless and Adaptive Control Strategy for a Wind Turbine Based on the Surface-Mounted Permanent Magnet Synchronous Generator and PWM-CSC

    Xing, N., Xia, J., Cao, W., Lin, Z. & Gadoue, S., 8 Mar 2019, 2019 26th International Workshop on Electric Drives: Improvement in Efficiency of Electric Drives, IWED 2019 - Proceedings. IEEE, p. 1-6 8664302

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Synchronous generators
    Wind turbines
    Permanent magnets
    Rotors
    Sensors

    On the Identifiability of Steady-State Induction Machine Models Using External Measurements

    Alturas, A., Gadoue, S., Zahawi, B. & Elgendy, M., 31 Oct 2019, 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, (2018 IEEE Power & Energy Society General Meeting (PESGM)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Equivalent circuits
    Identification (control systems)
    Torque
    Electric potential

    Probabilistic adaptive model predictive power pinch analysis (PoPA) energy management approach to uncertainty

    Bassey Etim, N., Giaouris, D., Patsios, H., Gadoue, S., Papadopoulos, A. I., Seferlis, P., Voutetakis, S. & Papadopoulou, S., 17 Jun 2019, In : The Journal of Engineering . 2019, 17, p. 4288-4292

    Research output: Contribution to journalArticle

    Open Access
    File
    Energy management
    Composite materials
    Uncertainty

    Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty

    Etim, N. B., Giaouris, D., Patsios, C., Papadopoulou, S., Papadopoulos, A. I., Walker, S., Voutetakis, S., Seferlis, P. & Gadoue, S., 2 Dec 2019, In : Energy.

    Research output: Contribution to journalArticle

    Energy management
    Reinforcement learning
    Energy storage
    Model predictive control
    Kalman filters

    Adaptive Power Pinch Analysis for Energy management of Hybrid Energy Storage Systems

    Bassey Etim, N-B., Giaouris, D., Papadopoulos, A. I., Patsios, H., Papadopoulou, S., Voutetakis, S., Seferlis, P., Walker, S., Taylor, P. & Gadoue, S., 4 May 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 8351732. (2018 IEEE International Symposium on Circuits and Systems (ISCAS)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Energy management
    Energy storage
    Composite materials
    Model predictive control
    Fossil fuels