A DC-Bus Capacitor Discharge Strategy for PMSM Drive System With Large Inertia and Small System Safe Current in EVs

Gong, Chao; Hu, Yihua; Chen, Guipeng; Wen, Huiqing; Zheng, Wandong; Ni, Kai

doi:10.1109/tii.2019.2895317

Cited by 71 publications

(30 citation statements)

References 26 publications

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“…This happens because of the viscous friction in the practical devices. Figure 12a and Figure 12b show the experimental results of case (1) and (2) under the traditional control strategy, and the control performance of the proposed strategy concerning the same cases is depicted in Figure 13a and Figure 13b, respectively. First, the d, q-axis current statics errors for the traditional method in Figure 12a and Figure 12b are -1 and 1.25 A, which are much larger than those in Figure 11.…”

Section: Resultsmentioning

confidence: 99%

“…Assuming that the real winding resistance and inductance of the machine are R s and L, respectively, the future states can be calculated directly by model (2). The measured resistance and inductance used for FCS-MPCC controller are denoted as R s0 and L 0 , and the predicted d, q-axis currents are i d0 (k + 1) and i q0 (k + 1), respectively.…”

Section: Analysis On Stabilitymentioning

confidence: 99%

“…Now, there exist two ways to design the poles: (1) assign two complex poles of which real part is over zero. (2) assign two real poles that are larger than zero. In terms of the first method, the following equations need to be satisfied:…”

Section: Stability Analysis Of Observermentioning

confidence: 99%

“…Generally speaking, the motor inductance is not large (0.1 mH-200 mH) [1][2][3][4]6,8,10]. Hence, the realistic error between the real inductance and measured inductance should not exceed 1 H. In this paper, let k 2 equal 15 4T .…”

Section: Stability Analysis Of Observermentioning

confidence: 99%

“…Surface-mounted permanent magnet synchronous motors (SPMSM) that are characterized by high torque density, high efficiency, and a flexible structure have been widely adopted in electric vehicles (EVs), computer numerical control machines, and servo drives [1][2][3]. Usually, excellent control performance (e.g., high dynamic and steady-state characteristics) is highly needed in these applications, placing great demands upon high-performance control strategies [4].…”

Section: Introductionmentioning

confidence: 99%

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Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch

Liu

Zhao

2019

Energies

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In order to improve the dynamics of the surface-mounted permanent magnet synchronous motors (SPMSM) used in servo systems, finite control set model predictive current control (FCS-MPCC) methods have been widely adopted. However, because the FCS-MPCC is a model-based strategy, its performance highly depends on the machine parameters, such as the winding resistance, inductance and flux linkage. Unfortunately, the parameter mismatch problem is common due to the measurement precision and environmental impacts (e.g., temperature). To enhance the robustness of the SPMSM FCS-MPCC systems, this paper proposes a Lundberg perturbation observer that is seldom used in the FCS model predictive control situations to remove the adverse effects caused by resistance and inductance mismatch. Firstly, the system model is established, and the FCS-MPCC mechanism is illustrated. Based on the machine model, the sensitivity of the control algorithm to the parameter mismatch is discussed. Then, the Luenberger perturbation observer that can estimate the general disturbance arising from the parameter uncertainties is developed, and the stability of the observer is analyzed by using the discrete pole assignment technique. Finally, the proposed disturbance observer is incorporated into the FCS-MPCC prediction plant model for real-time compensation. Both simulation and experiments are conducted on a three-phase SPMSM, verifying that the proposed strategy has marked control performance and strong robustness.

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Section: Resultsmentioning

confidence: 99%

Section: Analysis On Stabilitymentioning

confidence: 99%

Section: Stability Analysis Of Observermentioning

confidence: 99%