IPMSM Model Predictive Control in Flux-Weakening Operation Using an Improved Algorithm

Liu, Jinglin; Gong, Chao; Han, Zexiu; Yu, Haozheng

doi:10.1109/tie.2018.2818640

Cited by 110 publications

(45 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, another commonly used application is model predictive current control (MPCC), which contributes to rapid current dynamics [10,11]. There are two typical methods to achieve an MPCC controller, the first of which extends on the traditional vector control method by replacing the proportional integrate (PI) regulator in the current control loop with an MPCC controller but still retaining a modulator for pulse width modulation (PWM) signal generation [12,13]. The other totally eliminates the modulator, directly using the output of the MPCC controller to select the optimal switching states.…”

Section: Introductionmentioning

confidence: 99%

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

Liu

Zhao

2019

Energies

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Liu

Zhao

2019

Energies

View full text Add to dashboard Cite

show abstract

“…Although various types of built-in motors are used to drive turbomachinery, in this method, we assume the built-in motor to be a permanent magnet (PM) synchronous motor. In general, direct-current (DC) added to the d-axis is usually used for fluxweakening control (Mwasilu et al, 2016;Nguyen et al, 2013;Liu et al, 2018). We assume the PM motor has static eccentricity.…”

Section: Introductionmentioning

confidence: 99%

Frequency response function measurement of a rotor system utilizing electromagnetic excitation by a built-in motor

Ren

Tsunoda

Han

et al. 2020

JAMDSM

View full text Add to dashboard Cite

In this paper, we propose a practical method for evaluating the robustness and stability of rotating machines. This entails using electromagnetic excitation and measuring the frequency response functions (FRFs) of the rotor system during rotation. The difficulty of applying excitation can be solved by utilizing a built-in motor with static eccentricity and adding a sinusoidal sweep d-axis current to the motor. A test rig with a bearingless motor (BELM) was used to verify the validity of the proposed method. A consequent-pole-type BELM is a combination of a consequent-pole-type motor and a radial magnetic bearing, in which both the motor and the suspension windings are arranged in one stator core of the BELM. The center of the motor is defined by the zero-power controller and the static eccentricity is determined by the suspension control system. The FRFs measured utilizing the electromagnetic excitation generated by the motor windings was compared with reference FRFs measured utilizing the suspension windings. The natural frequencies and damping ratios were determined from the two different FRFs. The difference between the identified natural frequencies and the difference between the damping ratios for the two different FRFs were calculated. The effectiveness of measuring the dynamic characteristics of the rotor system under various rotational conditions, such as the rotational speed and eccentricity, was clarified and the differences between the measurements obtained from the two different FRFs were generally less than 7.7%.

show abstract

“…In recent years, numerous methods have been developed for PMSM drive systems to extend the speed range [8][9][10][11][12][13][14][15][16][17][18][19]. In [9], a novel method of PMSM drive has been proposed to maximize the speed range.…”

Section: Introductionmentioning

confidence: 99%

“…However, the above methods heavily depend on the no-load back-emf, which is necessary through computation of the linkage magnetic flux of stator windings and d-axis and q-axis inductance. The presented method in [12] uses the single linear multiple-input multiple output predictive controller to calculate the required flux-weakening d-axis current. Meanwhile, a new linearization approach is adopted to get the lower peak ripples of electrical current and torque.…”

Section: Introductionmentioning

confidence: 99%

Parameter Optimization of Adaptive Flux-Weakening Strategy for Permanent-Magnet Synchronous Motor Drives Based on Particle Swarm Algorithm

Ismail

Islam

2019

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

Operating in the high-speed range is necessary for high-performance permanent-magnet synchronous motor (PMSM) drives. However, due to the back electromotive force effect, the PMSM is approaching the voltage limit at field decreasing scope. This paper presents a new flux-weakening scheme along with an improved vector control strategy to alleviate the influence of this problem. Control parameters of the antiwindup proportional and integral (AWPI) controller are optimized off-line in relying on an adaptive velocity particle swarm optimization (AVPSO) algorithm. The AVPSO algorithm considers the summation of AWPI measurement error which is the objective function of the optimization problem without knowing the transfer function of the plant. Hence, the tuned flux-weakening controller with a filter is used to set the flux level without saturating the current controllers. Meanwhile, the other controllers of inner and outer loops award a great dynamic and steady-state performance for the PMSM. In the proposed scheme, the flux-weakening control is not dependent on machine parameters that adapts the flux level automatically and provide a fast transition between the constant torque region and the field-weakening region. Effectiveness and advantages of the proposed scheme are presented in this paper through both simulation and experimental results.

show abstract

IPMSM Model Predictive Control in Flux-Weakening Operation Using an Improved Algorithm

Cited by 110 publications

References 27 publications

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

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

Frequency response function measurement of a rotor system utilizing electromagnetic excitation by a built-in motor

Parameter Optimization of Adaptive Flux-Weakening Strategy for Permanent-Magnet Synchronous Motor Drives Based on Particle Swarm Algorithm

Contact Info

Product

Resources

About