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Electronic engineers from the University of Southampton have demonstrated the latest advances in inductive wireless links at a prestigious design conference in San Francisco.
Professor William Redman-White and a team of researchers from the School of Electronics and Computer Science presented a new technique that breaks a classical bandwidth limit at the 2019 Institute of Electrical and Electronics Engineers (IEEE) International Solid-State Circuits Conference (ISSCC).
The Southampton research has addressed fundamental issues in inductive link transmitters, intended for wireless power, radio-frequency identification (RFID) and security systems, where power and data need to be delivered simultaneously.
Such links are limited to simple modulation schemes, with an achievable data rate conventionally limited by circuit compromises required for good power efficiency and range. This is a particular problem where security is required as it restricts the amount of cryptographic information that can be transferred in a practical situation.
The Southampton team included Dr Rares Bodnar, Teerasak Lee and Henry Kennedy, who presented the latest paper at the conference's Techniques for Low-Power & High-Performance Wireless session at the San Francisco Marriott Marquis Hotel.
The paper's new technique employs instantaneous adaptive and predictive antenna coil tuning, allowing data modulation rates to exceed classical bandwidth/Q-factor limits, as well as presenting a fully integrated mixed analogue-digital IC implementation in a smart-power complementary metal-oxide semiconductor (CMOS) technology.
ISSCC is the world's premier integrated circuit design conference, attracting nearly 4,000 industrial and academic delegates from around the worlds, including large numbers from nearby Silicon Valley. This year's gathering united experts around the theme 'Envisioning the future'.
The event provided a poignant milestone for Professor William Redman-White, a past chairman for the conference's analog committee, as he retires to become an Emeritus Professor.
"As well as obtaining two patents for the technique, this is the second time the team has presented a paper at this conference, a very rare achievement for academic submissions from a single project," he says. "It has marked a particularly satisfying final conclusion to 35 years of analogue IC design research in Southampton."
For more information on the project, see the full ISSCC 2019 paper at A High-Q Resonant Inductive Link Transmit Modulator/Driver for Enhanced Power and FSK/PSK Data Transfer Using Adaptive-Predictive Phase-Continuous Switching Fractional-Capacitance Tuning and the predecessor paper Self-Tuning Resonant Inductive Link Transmit Driver Using Quadrature-Symmetric Phase-Switched Fractional Capacitance.
Articles that may also interest you
Publications
Liu, Haochen (2022) Dataset supporting the article - Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation. University of Southampton doi:10.5258/SOTON/D2250 [Dataset]
Liu, Haochen, Zhang, Yaoyuan, Zhang, Xiaoyu, El-Hajjar, Mohammed and Yang, Lie-Liang (2022) Deep learning assisted adaptive index modulation for mmWave communications with channel estimation. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2022.3181825).
- Date:
- 2018-2020
- Themes:
- Machine Learning, Artificial Intelligence, Intelligent Systems and Machine Learning
- Funding:
- ESRC
Over the last 60 years, commerce in exotic wild plants increased in Western countries. Alongside the legal trade in plants, the profitability of the market also boosted illegal markets. Wild plant trafficking threatens and destroys numerous species and important natural resources and hinders the rule of law and security as profits are also used to finance other forms of trafficking. The Internet has increased the illegal trade in wild plants, facilitating the encounter of supply and demand; no matter how highly specialised the market in certain wild plants, it is much easier to find potential buyers or sellers online than in the physical world. Unfortunately, the policing of such a criminal activity is still scarce and poorly resourced: a major challenge is the fact that many law enforcement agencies have limited training opportunities and lack of equipment and specific expertise to counter effectively this illegal trade. In this context, the question of how can we best control and prevent this criminal market needs to be addressed.
FloraGuard combines innovative and cross-disciplinary ways of analysing online marketplaces for the illegal trade in endangered plants and analyses of existing policing practices to assist law enforcement in the detection and investigation of illegal trades of endangered plants. It focuses on the UK, which serves as a major transit and destination market for the European region.
The research is structured around three cumulative work-packages (WP). WP1 comprises analysis at a community level of economic, social and geographical dynamics of a sample of online marketplaces active in the UK and associated with the illegal trade of endangered plants. WP2 focuses on the policing of this criminal activity by mapping current law enforcement practices and interventions, assessing their effectiveness in the light of the findings of WP1, and identifying law enforcementâÃâ¬Ãâ¢s needs for more effective policing. WP3 develops and tests a digital package of resources to assist law enforcement investigations into illegal trades of endangered plants in the UK.
Floraguard is funded by the Economic and Social Research Council (ESRC).
Primary investigator
- Anita Lavorgna
Secondary investigator
Partners
- UK Border Force
- Kew Gardens
Associated research group
- IT Innovation Centre
BTech, PhD, MIEEE, AFHEA
- https://scholar.google.co.uk/citations?user=tkp3t2gAAAAJ&hl=en
- https://www.researchgate.net/profile/Abhinav_Kumar_Singh
Note: PhD applicants interested in doing PhD in power system estimation, control and renewable integration, please email me on A.K.Singh@soton.ac.uk.
Dr. Abhinav Kumar Singh received his Bachelor’s degree in Aug 2010 from Indian Institute of Technology (IIT), New Delhi, India, and Ph.D. degree in Jan 2015 from Imperial College London, U.K., both in Electrical Engineering. He has been a Lecturer of Power Systems at the School of Electronics and Computer Science, University of Southampton, since April 2019. Prior to joining Southampton, he was a Lecturer at University of Lincoln from Aug 2017 to Mar 2019, and a Research Associate at Imperial College London from Jan 2015 to July 2017. He currently also serves as Editor of IEEE Transactions on Power Systems and Journal of Modern Power Systems and Clean Energy.
His research interests lie in real-time estimation and control of future energy networks, a multi-disciplinary area involving the fields of power systems, sustainable energy, control systems, signal processing and communication. The motivation behind his research lies in the fact that traditional technologies for protection and control of energy systems need to be upgraded to manage newer complexities arising because of increased integration of renewable sources of energy - and the identification or estimation of current operating states of the system in real-time is a necessary requirement for that. His key research contribution towards this requirement is in proposing a new approach for achieving decentralization in estimation and control of power systems which bypasses the unrealistic assumption of having a rigorous communication network for data transmission in power systems and facilitates real-time estimation and control. His current research deals with dynamic estimation based nonlinear control of power system dynamics, and modelling and dynamic estimation and control of renewable generation.
His research findings during PhD were selected for the EPSRC Doctoral Prize Fellowship. He has developed and validated a 68-bus power system model as part of IEEE PES Task Force on Benchmark systems for small signal stability analysis and control, which now serves as a standard for researchers to validate their innovations in stability analysis and control design. He was also a member of IEEE PES Task Force on Dynamic State and Parameter Estimation, which standardized definitions and methods of dynamic estimation and demonstrate its applicability. Within this taskforce, he led a subtask aimed at demonstrating the value of dynamic estimation in real-time power system monitoring and control. His contributions to these task-forces have been recognised through the IEEE PES Working Group Recognition Awards, awarded in 2016 and 2022, respectively. He is currently a member of IEEE PES Task Force on Standard Test Cases for Power Systems State Estimation, wherein he is leading the development of the DSE test case for 68-bus benchmark system.
Research projects:
PI on a National Grid project, ‘Economic Ageing of Transformers’, NIA_NGTO038: £480K, Oct 2019-Jun 2021.
Co-I on a UK-China EPSRC-NSFC project, ‘Resilient Operation of Sustainable Energy Systems’, EP/T021713/1: £780K, Jul 2020-Jun 2023.
Research
Research interests
Power system dynamics
Power system modelling
Power system estimation and control
Modelling of renewable generation
Large-scale integration of renewables
Teaching
Current modules:
ELEC3213 - Power Systems Engineering
ELEC6222 - Power and Distribution
ELEC6226 - Power Electronics for DC Transmission
MATH2047 - Mathematics for Electronics & Electrical Engineering Part II
Past modules:
Power Systems Dynamics, Stability and Control
Power Electronics
Electrical Machine Design
Publications
Canizares, C., Fernandes, T., Geraldi, E., Gerin-Lajoie, L., Gibbard, M., Hiskens Tf Past Chair, I., Kersulis, J., Kuiava, R., Lima, M. L., Demarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos, R., Roberto dos Santos, Joo, Silva, D., Singh, A. K., Tamimi, B. and Vowles, D. (2015) Benchmark systems for small-signal stability analysis and control (IEEE Power and Energy Society) Institute of Electrical and Electronics Engineers Inc. 390pp.
Singh, Abhinav Kumar and Pal, Bikash C. (2019) Dynamic estimation and control of power systems , Academic Press, 262pp.
Singh, A.K., Sawan, S., Hanmandlu, M., Madasu, V. K. and Lovell, B. C. (2009) An abandoned object detection system based on dual background segmentation. In 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc. pp. 352-357 . (doi:10.1109/AVSS.2009.74).
Singh, Abhinav Kumar and Pal, Bikash Chandra (2019) Rate of change of frequency estimation for power systems using interpolated DFT and Kalman filter. IEEE Transactions on Power Systems, 34 (4). (doi:10.1109/TPWRS.2018.2881151).
Bhui, Pratyasa, Senroy, Nilanjan, Singh, Abhinav K. and Pal, Bikash C. (2018) Estimation of inherent governor dead-band and regulation using unscented Kalman filter. IEEE Transactions on Power Systems, 33 (4), 3546-3558. (doi:10.1109/TPWRS.2017.2765692).
Zhao, Junbo, Gomez-Exposito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash Chandra, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu and Meliopoulos, A. P. Sakis (2019) Power system dynamic state estimation: Motivations, definitions, methodologies and future work. IEEE Transactions on Power Systems, 34 (4), 3188 - 3198. (doi:10.1109/TPWRS.2019.2894769).
Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized robust dynamic state estimation in power systems using instrument transformers. IEEE Transactions on Signal Processing, 66 (6), 1541-1550, [8249743]. (doi:10.1109/TSP.2017.2788424).
Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized nonlinear control for power systems using normal forms and detailed models. IEEE Transactions on Power Systems, 33 (2), 1160-1172. (doi:10.1109/TPWRS.2017.2724022).
Singh, Abhinav Kumar and Pal, Bikash C. (2014) Decentralized dynamic state estimation in power systems using unscented transformation. IEEE Transactions on Power Systems, 29 (2), 794-804, [6616007]. (doi:10.1109/TPWRS.2013.2281323).
Singh, Abhinav K. and Pal, Bikash C. (2016) An extended linear quadratic regulator and its application for control of power system dynamics. In 2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016. Institute of Electrical and Electronics Engineers Inc. pp. 110-114 . (doi:10.1109/CMI.2016.7413721).
Singh, Abhinav Kumar and Pal, Bikash C. (2017) An extended linear quadratic regulator for LTI systems with exogenous inputs. Automatica, 76, 10-16. (doi:10.1016/j.automatica.2016.10.014).
Singh, Abhinav Kumar and Pal, Bikash C. (2016) Decentralized control of oscillatory dynamics in power systems using an extended LQR. IEEE Transactions on Power Systems, 31 (3), 1715-1728, [7202912]. (doi:10.1109/TPWRS.2015.2461664).
Canizares, C., Fernandes, T., Geraldi, E., Gerin-Lajoie, L., Gibbard, M., Hiskens Tf Past Chair, I., Kersulis, J., Kuiava, R., Lima, L., Demarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos Tf Chair, R., Dos Santos, J., Silva, D., Singh, A. K., Tamimi, B. and Vowles, D. (2017) Benchmark models for the analysis and control of small-signal oscillatory dynamics in power systems. IEEE Transactions on Power Systems, 32 (1), 715-722, [7463478]. (doi:10.1109/TPWRS.2016.2561263).
Ariff, M. A.M., Pal, B. C. and Singh, A. K. (2015) Estimating dynamic model parameters for adaptive protection and control in power system. IEEE Transactions on Power Systems, 30 (2), 829-839, [6861457]. (doi:10.1109/TPWRS.2014.2331317).
Singh, Abhinav Kumar, Singh, Ravindra and Pal, Bikash C. (2015) Stability analysis of networked control in smart grids. IEEE Transactions on Smart Grid, 6 (1), 381-390, [6813688]. (doi:10.1109/TSG.2014.2314494).
Zhao, Junbo, Netto, Marcos, Huang, Zhenyu, Yu, Samson Shenglong, Gomez-Exposito, Antonio, Wang, Shaobu, Kamwa, Innocent, Akhlaghi, Shahrokh, Mili, Lamine, Terzija, Vladimir, Meliopoulos, A.P. Sakis, Pal, Bikash C., Singh, Abhinav Kumar, Abur, Ali, Bi, Tianshu and Rouhani, Alireza (2020) Roles of dynamic state estimation in power system modeling, monitoring and operation. IEEE Transactions on Power Systems, 36 (3). (doi:10.1109/TPWRS.2020.3028047).
Mir, Abdul Saleem, Singh, Abhinav Kumar and Senroy, Nilanjan (2021) Robust observer based methodology for frequency and rate of change of frequency estimation in power systems. IEEE Transactions on Power Systems, 36 (6), 5385-5395. (doi:10.1109/TPWRS.2021.3076562). (In Press)
Liu, Yu, Singh, Abhinav Kumar, Zhao, Junbo, Meliopoulos, A. P., Pal, Bikash Pal, Ariff, M. A. M., Van Cutsem, Thierry, Glavic, Mevludin, Huang, Zhenyu, Kamwa, Innocent, Mili, Lamine, Mir, Abdul Saleem, Taha, Ahmad, Terzija, Vladimir and Yu, Shenglong (2021) Dynamic state estimation for power system control and protection. IEEE Transactions on Power Systems. (doi:10.1109/TPWRS.2021.3079395).
Zhao, Junbo, Singh, Abhinav Kumar, Mir, Abdul Saleem, Taha, Ahmad, Abur, Ali, Gomez-Exposito, Antonio, Meliopoulos, A.P. Sakis, Pal, Bikash, Kamwa, Innocent, Qi, Junjian, Mili, Lamine, Ariff, M.A.M., Netto, Marcos, Glavic, Mevludin, Yu, Samson Shenglong, Wang, Shaobu, Bi, Tianshu, Van Cutsem, Thierry, Terzija, Vladimir, Liu, Yu and Huang, Zhenyu (2021) Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation (IEEE Technical Report, PES-TR88) IEEE 90pp.
Mir, Abdul, Singh, Abhinav Kumar, Pal, Bikash Pal, Senroy, Nilanjan and Tu, Junjie (2022) Adequacy of lyapunov control of power systems considering modelling details and control indices. IEEE Transactions on Power Systems, 1-12. (doi:10.1109/TPWRS.2022.3180397). (In Press)
Contact
Telephone: +44 (0) 23 8059 2025
Email: A.K.Singh@soton.ac.uk