Chengming Jiang

Chengming Jiang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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13 September 2021 in Advances in Mathematical Physics
Verified
Journal Article
Open access
PDF file
ZCZhu Changlin
Zhu Changlin
QTQunzhang Tu
Qunzhang Tu
CJChengming Jiang
Chengming Jiang
MPMing Pan
Ming Pan
QTQunzhang Tu
Qunzhang Tu
ZTZhiwen Tu
Zhiwen Tu
In view of the shortcomings of the existing multimotor synchronous control strategy, a new method of mean deviation coupling control for multimotor system via global fast terminal sliding mode control is proposed. Firstly, the mathematical model of permanent magnet synchronous motor (PMSM) under a d - q reference frame is established. Next, based on the deviation coupling control, the deviation is calculated by the average speed, and the structure of the deviation coupling control strategy is optimized. The speed controller of the multimotor system is designed based on the global fast terminal sliding mode control (GFTSMC) algorithm to improve the synchronization accuracy of the system. In addition, a load torque Luenberger observer is designed to observe the load in real time. Then, the stability analysis of the controller is carried out by using the Lyapunov function. Finally, a four-motor experimental platform is built to verify the effectiveness of the proposed control strategy.

1 January 2020 in Energies
Verified
Journal Article
Open access
PDF file
QTQunzhang Tu
Qunzhang Tu
QTQunzhang Tu
Qunzhang Tu
MPMing Pan
Ming Pan
CJChengming Jiang
Chengming Jiang
XJXue Jinhong
Xue Jinhong
A fast terminal sliding mode control is proposed in this paper for improving the dynamic performance and robustness of a permanent magnet in-wheel motor system driven by a voltage source inverter. Firstly, a fast terminal sliding mode approaching law was designed to accelerate the approaching rate of the control system. Then, a torque load observer was designed to compensate for disturbances and uncertainties. Finally, fuzzy rules were designed to suppress the chattering phenomenon. Simulation and experimental results demonstrated that the fast terminal sliding mode control strategy presented better response speed than the conventional sliding mode control strategy. It had better dynamic performance and anti-interference and effectively reduced the chattering phenomenon in the control process.