Hongfen Bai

Dr. Hongfen Bai

Shanghai Maritime University
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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25 January 2022 in IEEE Transactions on Intelligent Transportation Systems
Verified
Journal Article
Closed access
HBHongfen Bai
Hongfen Bai
BYBo Yu
Bo Yu
Ouyang WuOuyang Wu
Ouyang Wu
XYXinping Yan
Xinping Yan
JZJingwei ZHU
Jingwei ZHU
Take a dual-winding permanent magnet fault tolerant motor (FTPMM) in the ship shaftless rim-driven thruster (RDT) as the research object, the position sensorless control algorithm based on high frequency (HF) current injection is presented to estimate the rotor position and the rotor position signal is extracted from the voltage. In order to reduce influences of proportional-integral (PI) controller, current regulators and voltage calculation errors, the generalized second-order integrator (SOGI) is discussed along with how to combine with the low-speed sensorless control. And the current vector fault-tolerant control strategy is applied to compensate for the faulty phase current with other healthy phase currents. The rotor position at low speed is estimated under healthy as well as open-circuit faulty conditions by using the HF current injection algorithm based on SOGI (HF-SOGI). After simulation in Matlab/Simulink, the experimental results further demonstrate the feasibility of the HF-SOGI strategy by the FTPMM experimental setup. It can be calculated that the rotor speed ripple is decreased obviously after fault-tolerant control strategy is applied. It can be concluded that the HF-SOGI strategy can estimate the position accurately, which can further improve the reliability and application scope of FTPMM and the RDT system.

17 October 2018 in IEEE Transactions on Energy Conversion
Verified
Journal Article
Closed access
JZJingwei ZHU
Jingwei ZHU
HBHongfen Bai
Hongfen Bai
XWXia Wang
Xia Wang
XLXiaoqing Li
Xiaoqing Li
The dual-winding fault-tolerant permanent magnet motor (FTPMM)incorporates the merits of high power density and high efficiency of the permanent magnet (PM) motor and high fault-tolerance of the single FTPMM. In this paper, a three-phase dual-winding FTPMM is investigated to study fault-tolerant control strategy. To generate the same output torque and reduce the torque ripples under healthy, winding open-circuit faulty and winding short-circuit faulty conditions, the current vector fault-tolerant control strategy is proposed. The currents under one-phase open-circuit and short-circuit failure condition are calculated in detail. The torque ripples and copper loss are obtained and compared with other different fault-tolerant strategies. The simulation model of the dual-winding FTPMM drive is built and the hardware experimental platform based on TMS320LF28335DSP is developed. The simulation and experimental results have proved that the proposed dual-winding FTPMM has good operation performance under healthy condition, and the proposed vector fault-tolerant control strategy can compensate the function of faulty phase to obtain the invariable torque with small ripples under open-circuit and short-circuit faulty conditions, which verified the proposed current vector fault-tolerant control strategy correct and valid.

Verified
Journal Article
Open access
PDF file
HBHongfen Bai
Hongfen Bai
BYBo Yu
Bo Yu
WGWei Gu
Wei Gu
With the increasing use of electric propulsion ships, the emergence of the shaftless rim-driven thruster (RDT) as a revolutionary integrated motor thruster is gradually becoming an important development direction for green ships. The shaftless structure of RDTs leads to their dependence on position sensorless control techniques. In this study, a novel control algorithm using a composite sliding mode observer (SMO) with a modified feed-forward phase-locked loop (PLL) is presented for achieving high accuracy position and speed control of shaftless RDT motors. The deviation between the observed and actual currents is exploited to develop a current SMO to extract back electromotive force (back-EMF) errors. On this basis, a back-EMF observer is established to achieve accurate estimation of the back-EMF. The basic structure of the PLL was modified and incorporates a speed feedforward mechanism, which enhances the performance of rotor position estimation and facilitates bidirectional rotation. The stability of the algorithm has been verified in Matlab/Simulink for a range of steady-state, dynamic, and ship propeller loading conditions. Remarkably, the control algorithm boasts an impressive adjustment time of approximately 0.006 s and its position estimation error may be as low as 0.03 rad. Simulation results highlight the performance of the algorithm to achieve bidirectional rotation, while exhibiting fast convergence, minimal vibration, exceptional control accuracy, and robustness.

1 February 2017 in IET Power Electronics
Verified
Journal Article
Open access
PDF file
HBHongfen Bai
Hongfen Bai
JZJingwei ZHU
Jingwei ZHU
JQJunfeng Qin
Junfeng Qin
JSJunhao Sun
Junhao Sun
The dual‐winding fault‐tolerant permanent magnet motor (FTPMM) drive can overcome the shortcomings of single FTPMM and dual‐redundant FTPMM drive and further improve the fault‐tolerant capability of motor drives. The vector control technique based on voltage space vector pulse width modulation (SVPWM) can reduce switching frequency and improve the dynamic performances of the motor drive. In this study, the structure and principle of vector control system based on SVPWM for a dual‐winding FTPMM drive was introduced. The distribution of voltage space vectors was analysed and the vector control strategies under healthy and one‐phase open‐circuit faulty conditions were proposed in which the magnetomotive force was kept constant with the minimum copper loss. The simulation and experimental results are provided to verify the validity of the proposed fault remedial strategy based on SVPWM technique.

5 January 2024 in International Journal of Control, Automation, and Systems
Verified
Journal Article
Closed access
PDF file
WHWenbo Huang
Wenbo Huang
WNWangqiang Niu
Wangqiang Niu
HBHongfen Bai
Hongfen Bai
WGWei Gu
Wei Gu

6 February 2020 in Electronics
Verified
Journal Article
Open access
PDF file
HBHongfen Bai
Hongfen Bai
To improve the operating performance of electric propulsion ships, the permanent magnet synchronous motor is commonly used as the propulsion motor. Additionally, position estimation without sensors can further improve the application range of the propulsion motor and the estimated results can represent the redundancy of measured values from mechanical sensors. In this paper, the high-frequency (HF) injection algorithm combined with the second-order generalized integrator (SOGI) is presented on the basis of analyzing the structure of the electric propulsion ship and the vector control of the motors. The position and rotor speed were estimated accurately by the approximate calculation of q-axis currents directly related to the rotor position. Moreover, the harmonics in the estimated position were effectively reduced by the introduction of the second-order generalized integrator. Then, the rotor position estimation algorithm was verified in MATLAB/Simulink by choosing different low speeds including speed reversal, increasing speed, and increasing load torque. Finally, the correctness of the proposed improved high-frequency injection algorithm based on the second-order generalized integrator was verified by the experimental propulsion permanent magnet synchronous motor (PMSM) system at low speed.