Qianjun Zhang

Dr. Qianjun Zhang

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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23 April 2024 in Precision Engineering
Verified
Journal Article
Closed access
QZQianjun Zhang
Qianjun Zhang
WDWei Dong
Wei Dong
QXQingsong Xu
Qingsong Xu
BGBimal J. Goteea
Bimal J. Goteea
YGYongzhuo Gao
Yongzhuo Gao

2 February 2023 in Precision Engineering
Verified
Journal Article
Closed access
WDWei Dong
Wei Dong
QZQianjun Zhang
Qianjun Zhang
DZDongfang Zhu
Dongfang Zhu
TCTao Chen
Tao Chen
YGYongzhuo Gao
Yongzhuo Gao

11 October 2024 in IEEE Transactions on Automation Science and Engineering
Verified
Journal Article
Closed access
QZQianjun Zhang
Qianjun Zhang
YGYongzhuo Gao
Yongzhuo Gao
SMSiyuan Meng
Siyuan Meng
HDHui Dong
Hui Dong
CRChanghai Ru
Changhai Ru
WDWei Dong
Wei Dong
Contouring control of 3D trajectory is critical in multi-axial machine tool, scanning stage and other precision automation systems. Currently, most contouring controllers are based on Frenet frames, thus their limited applicability to nonzero-curvature 3D trajectories rather than zero-curvature ones which exist ubiquitously in multi-axial motion systems. This paper proposes an optimal vector-referenced moving frame based contouring controller (OVRMFCC) suitable for contouring control of 3D zero-curvature trajectories. Firstly, the optimal vector-referenced moving frame (OVRMF) capable of framing arbitrary finite-length smooth 3D trajectory regardless of its curvature was proposed. Then, a contouring controller (OVRMFCC) based on OVRMF was designed, followed by derivation of its analytical form and proof of its convergence. Finally, this controller was deployed to an FPGA-based controller target with comprehensive comparison experiments on a triaxial system. Experimental results indicates that OVRMFCC reduces at least 46.6% maximum contour error, and 25.0% root-mean-square contour error compared to cross-coupled controller. Besides, OVRMFCC achieves almost the same precision on trajectories with nonzero curvature or curvature singularities compared to TCF. It still maintains high-precision contour tracking on trajectories with continuous zero-curvature segments or planned discrete trajectories with sharp curvature changes, while TCF crashes or leads to several times larger contour error. Note to Practitioners —This work is motivated by the increasing need of contouring control of 3D trajectory in precision automation systems. The mainstream 3D contouring controllers, like task coordinated frame method and model predicted contouring controller, are invalid for zero-curvature 3D trajectory which ubiquitously exists in motion system since they are based on Frenet frame which fails to be defined where curvature is zero. Although cross-coupled controller can tackle zero-curvature 3D trajectory, it proves inefficient in reducing contour error as it is commonly model-free and not specifically designed. To solve this problem, we proposed an optimal vector referenced moving frame (OVRMF) for arbitrary infinite-length smooth 3D trajectory framing and proves its existence strictly. The main advantage of OVRMF lies in its independence of curvature, thus its existence everywhere as long as the curve is $C^1$ continuous. And based on OVRMF a contouring controller (OVRMFCC) is designed which combines the benefit of both TCF and OVRMF. With this, OVRMFCC can track any infinite-length $C^3$ -continuous 3D trajectory, which fill the gap of traditional 3D contouring controller. Experimental results reveal that OVRMFCC maintains high precision regardless of trajectory curvature, which outperforms both cross-coupled controller and TCF.

28 July 2023 in Frontiers of Information Technology & Electronic Engineering
Verified
Journal Article
Closed access
PDF file
BGBimal Jeet Goteea
Bimal Jeet Goteea
QZQianjun Zhang
Qianjun Zhang
WDWei Dong
Wei Dong
This paper presents a precision centimeter-range positioner based on a Lorentz force actuator using flexure guides. An additional digital-to-analog convert

21 March 2023 in Actuators
Verified
Journal Article
Open access
PDF file
BGBimal Jeet Goteea
Bimal Jeet Goteea
QZQianjun Zhang
Qianjun Zhang
WDWei Dong
Wei Dong
In this manuscript, a compact electromagnetic dual actuation positioning system (CEDAPS) based on the Lorentz force principle that features a 10 mm range and nanometer-scale resolution with flexure guides is presented. Firstly, the stiffness of the flexure mechanism is modelled. Secondly, based on it, the primary coil is designed, and from its performance, a suitable secondary coil is made to compensate for the deficiency of the primary actuation subsystem. The characteristics of the forces generated by these coils are also evaluated by an electromagnetic FEA simulation. Thirdly, a control scheme is presented that combines the performances of these two actuators, and finally, a prototype is fabricated to evaluate the performance. The results show a 10 nm resolution for a 10 mm (±5 mm) stroke with low sub-micron sinusoidal tracking errors and nanometer accuracy for step tracking under the proposed control scheme. The thermal properties of the system are also presented.