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Ronggang Ni,Gaolin Wang,Hanlin Zhan,Guoqiang Zhang,Dianguo Xu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
This paper proposes the extending application of permanent magnet synchronous machines (PMSMs) without damping windings, or non-line-start PMSMs (NLSPMSMs) to achieve effective soft start and synchronous switching from inverter drive to grid drive. The system electromechanical model during switching is deduced, and numerical analysis is adopted to verify the stability under grid drive. For the control strategy, two phase lock loops (PLLs) are adopted to obtain the phases of gird and inverter voltages. Then speed and current regulation is exerted to minimize the difference between inverter output and grid. Experiment results show that the 37kW NLSPMSM prototype can be safely switched to grid drive and robust to large load variation. Tested waveforms are coincident with numerical analysis.
Yawei Wu,Yifan Cui,Ronggang Ni,Shuxin Nie,Xinzhen Wu 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
The performance of the initial rotor position detection of Permanent Magnet Synchronous Machines (PMSMs) at standstill depends much on the position observer. In this paper, the Extended State Observer (ESO) is compared with the traditional Proportional Integration (PI) observer adopting the rotating high frequency voltage injection algorithm, and the observer parameter design method is derived based on the bandwidth analysis of the close-loop transfer function. Experiments are carried out on a 3 kW PMSM prototype for verifications.
Guoqiang Zhang,Gaolin Wang,Ronggang Ni,Dianguo Xu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
To suppress the position error harmonic ripples in back electromotive force (EMF) based methods for position sensorless interior permanent magnet synchronous motor (IPSMSM) drives, an adaptive notch filter (ANF) based harmonic self-compensated sliding-mode observer (SMO) is proposed. The inverter nonlinearities and flux spatial harmonics that induce the position error harmonic ripples are analyzed. The back-EMF information containing harmonics can be obtained through SMO, and then the least mean square (LMS) based ANF is adopted to realize back-EMF harmonic detecting and selfcompensating, thus eliminating the position error harmonic ripples. Due to the simple structure, the ANF based harmonic self-compensated SMO can be easily implemented on low-cost microchips with little computational burden. Experiments on a 2.2kW IPMSM sensorless vector controlled drive have been carried out to verify the proposed scheme.
Offline Inductance Identification of PMSM with Adaptive Inverter Nonlinearity Compensation
Gaolin Wang,Ying Wang,Jiangbo Qi,Ronggang Ni,Wei Chen,Dianguo Xu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
Offline inductance identification of permanent magnet synchronous motor (PMSM) is essential for self-tuning of closed-loop controller and position observer in sensorless vector controlled drives. This paper proposes an enhanced offline identification method fulfilled at standstill with adaptive inverter nonlinearity compensation for general-purpose drive applications. The d-q axis inductances can be obtained at standstill by using a voltage-sourceinverter fed drive. Influences of inverter nonlinearities on direct and quadrature inductance identifications exploiting high frequency (HF) voltage injection at different rotor positions are analyzed. Then an adaptive inverter nonlinearity compensation strategy employing a simple self-learning of compensation coefficients is proposed to enhance the accuracy of inductance identification. The feasibility of the proposed adaptive offline inductance identification method is validated on a 22kW interior PMSM.
Xiaoqin Zheng,Wen Zhang,Xinzhen Wu,Ronggang Ni 한국자기학회 2019 Journal of Magnetics Vol.24 No.1
Concentric winding has been widely used in small capacity AC motors due to its excellent performance. In this paper, a numerical calculation method based on the magnetic vector potential is proposed to calculate the stator end leakage reactance of concentric winding. In this case, the basic unit of numerical calculation becomes the coil group rather than the coil since concentric windings have different coil sizes. The calculated stator end leakage reactance of a prototype three-phase permanent magnet machine with concentric winding is validated using the finite element method. Compared to 3D electromagnetic field calculation, the proposed method does not require a complex modeling process and is therefore highly efficient computationally, requiring only a fraction of the calculation time.
Gaolin Wang,Ying Wang,Li Ding,Lei Yang,Ronggang Ni,Dianguo Xu 전력전자학회 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.6
Offline inductance identification of a permanent magnet synchronous motor (PMSM) is essential for the design of the closed-loop controller and position observer in sensorless vector controlled drives. On the base of the offline inductance identification method combining direct current (DC) offset and high frequency (HF) voltage injection which is fulfilled at standstill, this paper investigates the inverter nonlinearity effects on the inductance identification while considering harmonics in the induced HF current. The negative effects on d-q axis inductance identifications using HF signal injection are analyzed after self-learning of the inverter nonlinearity characteristics. Then, both the voltage error and the harmonic current can be described. In addition, different cases of voltage error distribution with different injection conditions are classified. The effects of inverter nonlinearities on the offline inductance identification using HF injection are validated on a 2.2 kW interior PMSM drive.
Wang, Gaolin,Wang, Ying,Ding, Li,Yang, Lei,Ni, Ronggang,Xu, Dianguo The Korean Institute of Power Electronics 2015 JOURNAL OF POWER ELECTRONICS Vol.15 No.6
Offline inductance identification of a permanent magnet synchronous motor (PMSM) is essential for the design of the closed-loop controller and position observer in sensorless vector controlled drives. On the base of the offline inductance identification method combining direct current (DC) offset and high frequency (HF) voltage injection which is fulfilled at standstill, this paper investigates the inverter nonlinearity effects on the inductance identification while considering harmonics in the induced HF current. The negative effects on d-q axis inductance identifications using HF signal injection are analyzed after self-learning of the inverter nonlinearity characteristics. Then, both the voltage error and the harmonic current can be described. In addition, different cases of voltage error distribution with different injection conditions are classified. The effects of inverter nonlinearities on the offline inductance identification using HF injection are validated on a 2.2 kW interior PMSM drive.
Improved Model Predictive Control for H-bridge Cascaded STATCOM
Xu Rong,Yu Yong,Wu Jian,Yang Rongfeng,Xu Dianguo,Chen He,Yu Yannan,Ni Ronggang 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
H-bridge cascaded static synchronous compensator (STATCOM) is often used to compensate the harmonic and reactive current derived from non-linear load. In order to improve the performance of STATCOM, an improved model predictive control (MPC) method is put forward in this paper. In the proposed MPC, the difference equations which are derived from the transfer functions of controlling variables and controlled variables in STATCOM are used as the predictive control model, the error between the output of STATCOM and predictive model is used to design feedback correction controller and rolling optimization controller. Meanwhile, the introduced repetitive controller is used to eliminate the inherent steady error. The actual H-bridge cascaded STATCOM is constructed and a series of verification tests are executed. The experimental results prove that the output voltage and current of H-bridge cascaded STATCOM with the proposed MPC have smaller distortion and better sinusoidal shape than those of the traditional Proportion Integral (PI) control. Moreover, the performance of H-bridge cascaded STATCOM is great in high power experiment.