Yupeng Liu 0012

dblp:99/4855-12 · DBLP profile ↗
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6ranked-venue papers
3as first author
5since 2021 · last 2025
0000-0001-7848-8059ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4 · 2 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2025 Model Predictive Control for PMSM Fed by Three-Phase Single-Stage Differential Boost Inverter
abstract
The three-phase single-stage differential boost inverter (DBI) has drawn significant attention in power conversion systems when feeding permanent magnet synchronous motors (PMSM). It offers advantages such as single-stage boosting, high efficiency, cost-effectiveness, and a compact structure. However, its nonlinear and non-minimum phase characteristics pose challenges for control. In this paper, the application of model predictive control (MPC) for PMSM fed by the three-phase DBI is focused on. Firstly, the modeling method of the three-phase DBI is presented. Subsequently, an MPC approach for PMSM fed by three-phase DBI is proposed. Based on the established predictive models of circuit currents and voltages, the appropriate duty cycle for the next sampling period can be predicted, which simplifies the control process and parameter design compared to traditional exclusively PI-based control. Simulation experiments are carried out to verify the effectiveness of the proposed MPC strategy for PMSM driven by the three-phase DBI.
Yushan Liu 0001, Xiangkai Feng, Yupeng Liu 0012, Baoming Ge, Marco Rivera, Pat Wheeler
IECON3
2025 Optimization Method for Ultrasonic Shock Wave Signal Gain Based on Time - Reversal Mirror
abstract
This paper addresses the problem of optimizing the ultrasonic shock wave signal gain based on the Time - Reversal Mirror (TRM) technology. A method system combining channel modeling, Virtual Time - Reversal Mirror (VTRM) simulation, and adaptive frequency - domain modulation is proposed. The research estimates the transfer function of the dispersive waveguide, analyzes the signal transmission characteristics in complex media through VTRM simulation, and further designs two frequency - domain modulation methods: frequency - domain windowing and frequency - domain iterative weighting. These methods optimize the spectral characteristics of the TRM excitation signal, thereby enhancing the energy focusing effect of the shock wave. The simulation results show that the optimized TRM method can effectively improve the shock wave gain and has a stronger signal enhancement ability compared with the traditional method. This optimization method can effectively overcome the limitation of the focusing performance of the traditional TRM technology in complex media, providing theoretical support for the design and optimization of ultrasonic shock wave signal generation devices.
Yupeng Liu 0012, Jiahui Wen, Dong Xu 0005, Marco Rivera, Pat Wheeler
IECON1
2025 Closed-Loop Iterative Optimized Fractional-Order PID Current Control of PMSM
abstract
In the field of robotics, particularly in human–robot interaction, rapid and precise torque control is crucial. This study presents a closed-loop iterative optimized (CIO) approach designed to improve current tracking in servo systems, positioning it as a feasible alternative to traditional proportional-integral controllers. The proposed method innovatively combines a fractional-order proportional-integral-derivative (FOPID) controller with linear matrix inequality (LMI) technique and genetic algorithm in a closed-loop iterative setting. This integration not only boosts the FOPID controller's response speed, but also leverages the robustness of LMI, enhancing stability under various operating conditions. The inclusion of heuristic algorithms in this system enables a more dynamic and efficient search for optimal control parameters, aligning the controller's performance with the complex requirements of contemporary robotics. Experimental data underscore that this approach significantly increases torque response speed and the control system's bandwidth, vital for satisfying the dynamic needs of current robotic applications.
Hongjie Fan, Hongxing Wei, Dong Xu 0005, Yupeng Liu 0012
IEEE Trans. Ind. Informatics4
2024 Permanent Magnet Synchronous Motor Emulation Based on Quasi-Z Source Inverter
abstract
The permanent magnet synchronous motor (PMSM) is widely adopted in the industry. However, current testing systems for PMSM drives exhibit several limitations. This article proposes a quasi-Z source inverter (qZSI) based PMSM emulator, which can emulate a PMSM with different test schemes under different working conditions. The motor emulator (ME) proposed in this paper is able to solve the inherent defects of the traditional inverter. Improve the quality of output voltage and the reliability of inverter system. In this paper, the parameterized model of PMSM and mathematical model of the qZSI are established firstly. Based on that, the PMSM emulator is developed and tested for different operating conditions. Matlab simulations have been used to verify the viability and efficiency of the system.
Jiamin Deng, Yupeng Liu 0012, Dong Xu 0005, Marco Rivera, Pat Wheeler
IECON2
2021 Power Hardware-in-the-Loop based Emulation of An Induction Machine with Stator Winding Faults
abstract
The induction machine (IM) is commonly adopted in industry, which plays an important role in energy conversion between mechanical power and electrical power. Asymmetrical faults caused by internal failures commonly occur in IMs. Such faults not only reduce the working efficiency and cause excessive heating, but also cause potential hazards preventing continuous operation and safety problems. In this paper, a power electronic converter-based IM power hardware-in-the-loop (PHIL) emulator is developed to emulate an IM with internal faults. The IM mathematical model with an inter-turn short circuit of the stator winding is established and verified in the built IM emulator. A comparison of the emulator results with simulation results and actual experiments demonstrates the validity of the proposed solution.
Yupeng Liu 0012, Lebohang Ralikalakala, Paul S. Barendse, Pragasen Pillay
IECON1
2020 Interactive Grid Interfacing System by Matrix-Converter-Based Solid State Transformer With Model Predictive Control
abstract
The back-to-back connection of two three-to-single-phase matrix converters (MCs) through a high-frequency transformer to create the so called MC-based solid state transformer (SST) for interactive grid interfacing is proposed in this paper. The solution provides single-stage bidirectional ac-ac power conversion. There are advantages of no lifetime-limited storage capacitors, light weight, and compact volume. The conventional modulation methods of this MC-SST system require additional control design for power management. Besides, space vector modulation contains sophisticated voltage and current vectors computation and duty cycle composition, considering the two back-to-back connected three-to-single-phase MCs. In this paper, a model predictive control (MPC) is proposed for this MC-SST linking different ac grids. The proposed MPC predicts the state variables based on the discrete model of MC-SST system and the present circuit variables, and then selects an optimal switching state that ensures the smallest value of a cost function, for the next sampling time. Simulation and experimental studies are carried out to demonstrate effectiveness and simplicity of the proposed MPC for such MC-SST grid-interfacing system.
Yupeng Liu 0012, Yushan Liu 0001, Baoming Ge, Haitham Abu-Rub
IEEE Trans. Ind. Informatics1