Projects per year
Personal profile
Personal profile
Xuchen Wang received her B.Eng. (Hons.) degree and Ph.D. degree in electrical and electronic engineering from the University of Nottingham in 2015 and 2019 repectively.Her research interests include design, modelling and control of motor drives.
Research interests
design, modelling and control of multiphase drives
Experience
Teaching fellow in the University of Nottingham, ningbo, China ,2020-2021
Senior engineer in Nottingham Electrification centre, 2019-2020
Teaching
EEE103 Electrical circuit 1
EEE406 Power Electronics for renewable applications
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, in electrical and elctronic engineering, the University of Nottingham, 2019
B.Eng, in electrial and elctronic engineering, the Univeristy of Nottingham, 2015
Research areas
- Motor Drive
- Optimized control
- AI-assisted servo system
Person Types
- Staff
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Collaborations and top research areas from the last five years
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Sensorless Robust Control of Electric Motor for Hydrogen Fuel Cell Compressor
Zhang, T. (PI), Wang, X. (Team member), Feng, Y. (Team member) & Sheng, H. (Team member)
1/10/25 → 1/10/27
Project: Governmental Research Project
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Torque ripple reduction on multiphase machine based on pulse width modulation
Wang, X. (PI)
1/09/22 → 31/08/25
Project: Internal Research Project
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An auxiliary model-based multi-innovation recursive least squares algorithm for identifying the electrically stimulated muscle model
Dong, Q., Wen, Y., Liu, Q. & Wang, X., 2025, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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GM-CBAM-ResNet: A Lightweight Deep Learning Network for Diagnosis of COVID-19
Zhu, J., Zhang, Y., Ma, C., Wu, J., Wang, X. & Kong, D., Mar 2025, In: Journal of Imaging. 11, 3, 76.Research output: Contribution to journal › Article › peer-review
Open Access -
Multi-innovation recursive identification methods for nonlinear sandwich systems using the auxiliary model
Liu, Q., Dong, Q., Jiang, H., Chen, F. & Wang, X., 27 Aug 2025, In: Applied Mathematical Modelling.Research output: Contribution to journal › Article › peer-review
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Data-driven assisted real-time optimal control strategy of submerged arc furnace via intelligent energy terminals considering large-scale renewable energy utilization
Zheng, B., Pan, M., Liu, Q., Xu, X., Liu, C., Wang, X., Chu, W., Tian, S., Yuan, J., Xu, Y., Xu, Z. & Li, Y., Dec 2024, In: Scientific Reports. 14, 1, 5582.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input–output-error systems with colored noises from observation data
Liu, Q., Chen, F., Guo, Q. & Wang, X., 15 Oct 2024, In: Journal of Computational and Applied Mathematics. 449, 115976.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus)
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Win the first prize on the 3rd national electrical and electronic eneerging competition
Xuchen Wang (Participant)
12 Aug 2024Activity: Other
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Comprehensive performance evaluation and multi-objective optimization of multiphase drive system
Xuchen Wang (Supervisor)
1 Jun 2024 → 1 Sept 2024Activity: Supervision › Completed SURF Project
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Modelling and control of electric machine drive system
Xuchen Wang (Supervisor) & Qinyao Liu (Co-supervisor)
10 Jun 2023 → 28 Aug 2023Activity: Supervision › Completed SURF Project
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Model predictive control of permanent magnet synchronous motor systems
Qinyao Liu (Supervisor) & Xuchen Wang (Co-supervisor)
10 Jun 2023 → 28 Aug 2023Activity: Supervision › Completed SURF Project
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Suppression strategy for bus capacitor current ripple of dual three-phase permanent magnet synchronous motor drives
Xuchen Wang (Supervisor)
1 Jun 2023 → 1 Dec 2023Activity: Supervision › Master Dissertation Supervision