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Professor Li Shihua's team won the Best Paper Award from the "IET Control Theory and Applications"

2017/9/29
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Recently, our 2012 Ph.D student Wang Junxiao (first author), Professor Li Shihua (corresponding author), Associate Professor Yang Jun, 2013 master student Wu Bin and Professor Li Qi published in the famous international control journal "IET Control Theory and Applications" in 2015 (Full English name: "IET Control Theory and Applications", English abbreviation: IET CTA). Paper "Extended state observer-based sliding mode control for PWM-based DC–DC buck power converter systems with mismatched disturbances" won the 2017 IET CTA's Best Paper Award (2017 Premium Award for the Best Paper). This award is awarded to the only best paper selected from all the articles (592 in total) published by the journal in 2015 and 2016.

IET CTA is hosted by the International Society of Engineering and Technology headquartered in London, England, and is one of the important journals in the field of international automation. IET (Institute of Engineering and Technology) is one of the world’s largest multi-disciplinary professional engineering societies and shares a database with IEEE. Each year, it selects a best paper from the papers published in various academic journals in the past two years to be the best paper award.

Wang Junxiao, a 2012 PhD student in our school, is the first author of the paper, and Professor Li Shihua is the corresponding author. In this paper, a novel composite sliding mode variable structure control strategy is proposed for the control problem of DC-DC buck converter system with non-matched interference. This strategy first estimates the system's non-matching interference through an extended state observer; secondly, constructs a novel dynamic sliding mode surface based on interference estimation; finally, designs a composite sliding mode variable structure controller based on the first two. The new composite sliding mode variable structure control method proposed in the thesis significantly improves the closed-loop system's ability to suppress non-matched interference of the step-down DC-DC power converter. In the end, the advanced control algorithm proposed in the paper has been effectively verified on the LabVIEW-based real-time control experimental platform.

The results of this thesis belong to the category of advanced control methods for power electronic systems, and are a new research direction of the Mechatronic Systems Control Laboratory (MSCL) established by Professor Li Shihua. The laboratory currently has multiple sets of advanced hardware platforms, such as a DC-DC (buck, boost, buck-boost) system based on the NI-PXI controller, and a DC-AC inverter system based on the dSPACE controller. On the basis of the above platform, Professor Li Shihua’s team has successively published high-level papers in a number of authoritative application journals, including IEEE Transactions on Power Electronics, IEEE Transactions on Control Systems Technology, IEEE Transactions on Circuits and Systems I, II, Control Engineering Practice, IET CTA, IET Power Electronics, which have been highly recognized by domestic and foreign counterparts. The project team has also established cooperative relations with world-class power electronics research groups such as Germany, the United Kingdom, and Denmark through joint training of doctoral degrees, and has carried out in-depth and close cooperation in the fields of modern drive technology, distributed energy systems and power quality improvement. Exchange and cooperation.

In addition to this best paper award, Professor Li Shihua’s team has also achieved good results in disturbance rejection control of nonlinear systems and its application in electromechanical systems. Among them, the research team won the second prize of Natural Science of the Ministry of Education in 2014; in 2016, the paper jointly published in 2014 by the 2011 master student Su Jinya (first author), Associate Professor Yang Jun (corresponding author) and Professor Li Shihua in the journal "Transactions of the Institute of Measurement and Control" won the Best Paper Award of the Year from the British Institute of Measurement and Control.