Weijia Shi

Prof. Dr. Weijia Shi

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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6 October 2017 in IEEE Transactions on Industrial Electronics
Verified
Journal Article
Closed access
WSWeijia Shi
Weijia Shi
HZHui Zhao
Hui Zhao
JMJie Ma
Jie Ma
YYYu Yao
Yu Yao
This paper presents a high-efficiency compensation method of the dead zone with the aid of the adaptive dither for the ultrasonic motor. Prior to proposing the method, the influence of the dither on the principal elements of the dead zone, i.e. the deviations of the control variable and the minimum velocity, is analyzed. Then, the improved generation method of the adaptive dither is proposed, which introduces the adaptive dither by orthogonally adjusting the amplitudes of the applied voltages instead of changing the phase difference as mentioned in the existing studies. Experimental measurements have demonstrated that the proposed method not only can effectively compensate the dead zone and conveniently control the velocity, but also is superior to the existing phase-difference-based method in terms of improving the efficiency of the USM.

1 November 2018 in Ultrasonics
Verified
Journal Article
Closed access
WSWeijia Shi
Weijia Shi
HZHui Zhao
Hui Zhao
BZBo Zhao
Bo Zhao
XQXue Qi
Xue Qi
WCWeishan Chen
Weishan Chen
JTJiubin Tan
Jiubin Tan

1 August 2016 in Ultrasonics
Verified
Journal Article
Closed access
WSWeijia Shi
Weijia Shi
HZHui Zhao
Hui Zhao
JMJie Ma
Jie Ma
YYYu Yao
Yu Yao

8 July 2022 in Measurement
Verified
Journal Article
Closed access
WSWeijia Shi
Weijia Shi
JLJiaxin Li
Jiaxin Li
BZBo Zhao
Bo Zhao
JTJiubin Tan
Jiubin Tan

17 March 2015 in Journal of Electroceramics
Verified
Journal Article
Closed access
PDF file
WSWeijia Shi
Weijia Shi
HSHusain N. Shekhani
Husain N. Shekhani
HZHui Zhao
Hui Zhao
JMJie Ma
Jie Ma
YYYu Yao
Yu Yao
Kenji UchinoKenji Uchino
Kenji Uchino

15 August 2023 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
BZBo Zhao
Bo Zhao
XQXue Qi
Xue Qi
WSWeijia Shi
Weijia Shi
JTJiubin Tan
Jiubin Tan
This article presents an incremental linear model predictive control (ILMPC) scheme based on the global linearization prediction neural network (GLPNN) model to compensate nondispersed and dispersed hysteresis. Hysteresis seriously weakens the tracking performance of piezoelectric actuators (PEAs), and the existing modeling and control methods mainly focus on the compensation of nondispersed hysteresis. This article investigates the GLPNN model of PEA to capture hysteresis behavior over a wide frequency band. The model is precisely identified by a specially designed neural network related to historical inputs, which is data driven. The modeling results verify that the modeling error is less than 10% of the previous models. Based on the identified model, linear control theory can be utilized for nonlinear hysteresis compensation. The real-time ILMPC scheme is proposed to achieve hysteresis compensation, which avoids complex nonlinear optimization problems. The experimental results indicate that the new compensator advances in eliminating hysteresis over a wide frequency band. Especially, the tracking error is significantly lower than previous studies in the dispersed band, and the relative hysteresis loop error is reduced by 55.24%. Different from the existing compensation strategies for limited bandwidth, the proposed modeling and control methods exhibit better tracking performance for PEAs over a wide nonresonant frequency band.