Li Sun

Dr. Li Sun

School of Energy and Environment, Southeast University, Nanjing, China
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2018 in Applied Energy
Verified
Journal Article
Closed access
LSLi Sun
Li Sun
Jiong ShenJiong Shen
Jiong Shen
QHQingsong Hua
Qingsong Hua
KLKwang Y. Lee
Kwang Y. Lee

1 March 2020 in Applied Energy
Verified
Journal Article
Closed access
LSLi Sun
Li Sun
YJYuhui Jin
Yuhui Jin
FYFengqi You
Fengqi You

14 January 2021 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
LSLi Sun
Li Sun
WXWenchao Xue
Wenchao Xue
Donghai LiDonghai Li
Donghai Li
HZHongxia Zhu
Hongxia Zhu
ZSZhi-gang Su
Zhi-gang Su
Active disturbance rejection controller (ADRC) has achieved soaring success in motion controls featured by rapid dynamics. However, it turns obstreperous to implement it in the power plant process with considerable time-delay, largely because of the tuning difficulty. To this end, this article proposes a quantitative tuning rule for the time-delayed ADRC (TD-ADRC) structure based on the typical first order plus time delay (FOPTD) model. By compensating the FOPTD process as an integrator plus time delay in low frequencies, the gain parameter of TD-ADRC can be related to a scaled time constant which shapes the closed-loop tracking performance. Bandwidth parameter of extended state observer is scaled as a dimensionless parameter. A sufficient stability condition of TD-ADRC is theoretically derived in terms of the scaled parameter pair, the range of which falls within the practical interest. Relative delay margin is revealed as a critical robustness metric among others, a default pair of scaled parameter setting is recommended as well as an explicit retuning guideline according to the user's preference for performance or robustness. Simulation and laboratory water tank experiment validate the tuning efficacy and a coal mill temperature control test depicts a promising prospective of the proposed method in process control practice.

6 June 2016 in Industrial & Engineering Chemistry Research
Verified
Journal Article
Closed access
LSLi Sun
Li Sun
DLDonghai Li
Donghai Li
KHKangtao Hu
Kangtao Hu
KLKwang Y. Lee
Kwang Y. Lee
FPFengping Pan
Fengping Pan

1 February 2019 in Control Engineering Practice
Verified
Journal Article
Closed access
ZWZhenlong Wu
Zhenlong Wu
THTing He
Ting He
DLDonghai Li
Donghai Li
YXYali Xue
Yali Xue
LSLi Sun
Li Sun
LSLiming Sun
Liming Sun

20 July 2017 in IEEE Transactions on Energy Conversion
Verified
Journal Article
Closed access
LSLi Sun
Li Sun
GWGuiying Wu
Guiying Wu
YXYali Xue
Yali Xue
Jiong ShenJiong Shen
Jiong Shen
DLDonghai Li
Donghai Li
KLKwang Y. Lee
Kwang Y. Lee
Solid-oxide fuel cell (SOFC) power plant plays a vital role in a hybrid alternative energy based microgrid due to its reliability and flexibility in power supply. However, the control of SOFC is challenging in terms of providing a fast load tracking while maintaining the fuel utilization rate within a safe range. To this end, this paper builds two basic coordinated control strategies (CCS) for power management of SOFC-based microgrid. The first is “Fuel Cell follows Inverter” scheme, where fast tracking is preferred while SOFC may operate on the edge of the safety range. The second is “Inverter follows Fuel Cell” scheme, where high security is guaranteed by sacrificing performance in load tracking. To obtain a robust and simple scheme, energy balance principle is used in CCS such that PI controller is sufficient to fulfill the basic duties. Moreover, a simple supervisory control strategy is proposed for microgrid to provide a reasonable power reference for SOFC. The control system is designed and tuned based on an SOFC plant with inverter's average model. The efficiency of the proposed strategies is validated via a grid-connected SOFC/photovoltaic microgrid.