Instantaneous-current control of PMSM using MPC: Frequency analysis based on sinusoidal correlation

Model predictive-based current control, which was proposed in our previous study, offers better current response performance by employing mathematical models of an inverter and a permanent magnet synchronous motor (PMSM). The performance of this kind of approach depends on the predictive model. From a more practical point of view, current behavior in the steady state should be improved. In our previous model predictive-based current control, the inverter model was refined by taking the dead-time into consideration. The use of the refined inverter model reduces the current offset in the control. However, the PMSM model was not investigated. This paper proposes a more appropriate PMSM model for model predictive-based current control in order to improve the current prediction in the steady state. For the purpose, we incorporate more detailed magnetic flux characteristics instead of average characteristics into the improved PMSM model. Specifically, in the improved PMSM model, the inductance of the PMSM is divided into transient and steady-state parts on the basis of magnetic saturation. The effectiveness of the improved model in the model predictive-based current control is demonstrated through simulations and experiments.

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“…The configuration of the model predictive-based current control system for PMSMs is shown in Fig. 4 [5][6][7][8].…”

Section: Model Predictive-based Current Controlmentioning

confidence: 99%

“…We have been developing a model predictive‐based current control focusing on instantaneous current for the purpose of both performance improvement and cost reduction in control design . Our model predictive‐based current control approach offers much better control performance than a general proportional‐integral (PI) control .…”

Section: Introductionmentioning

confidence: 99%

Improved PMSM model considering flux characteristics for model predictive‐based current control

Imura

Takahashi

Fujitsuna

et al. 2014

IEEJ Transactions Elec Engng

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“…predicted voltage vector is assumed to be fed during the control period without considering the dead-time in our earlier works [8][9][10]. However, the dead-time voltage vector during switching is no longer ignorable as mentioned in the previous subsection.…”

Section: Refinement Of Inverter Model In Mpic Thementioning

confidence: 99%

“…We have also developed an MPC-based instantaneous current control (MPIC) in which an online optimal strategy can be derived, and verified its effectiveness [8][9][10]. In MPIC, an optimal voltage vector is determined without using PWM during every control a Correspondence to: Akihiro Imura.…”

Section: Introductionmentioning

confidence: 99%

Refinement of inverter model considering dead‐time for performance improvement in predictive instantaneous current control

Imura

Takahashi

Fujitsuna

et al. 2013

IEEJ Transactions Elec Engng

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Model predictive instantaneous-current control (MPIC), which was proposed in our earlier works, enables us to achieve better instantaneous current control using mathematical models of an inverter and permanent magnet synchronous motors (PMSMs). However, dead-time to avoid short breakdown in the inverter is not usually considered in a general inverter model. Such an unmodeled part in the inverter model prevents accurate prediction of current evolution in motor systems based on the model predictive control. Therefore, in this paper, we analyze current response resulting from the dead-time in the MPIC, and propose a refined inverter model considering the dead-time so that control performance is improved. The effectiveness of the proposed method is verified through simulation and experiments.

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“…If the Riccati equation solution is infeasible, then the motor control is failed. In [11], model predictive control (MPC) can provide good performance in instantaneous current control for motor drive, but MPC is not robust. An intelligent control or a neural network-based control technique requires a huge amount of computation complexity, while its control performance is not guaranteed, and there is no stability warranty [12], [13].…”

Section: Section I Introduction and Motivationmentioning

confidence: 99%

Field Oriented Sliding Mode Control of Surface-Mounted Permanent Magnet AC Motors: Theory and Applications to Electrified Vehicles

Wang

Reitz

Yaz

2018

IEEE Trans. Veh. Technol.

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Permanent magnet ac motors have been extensively utilized for adjustable-speed traction motor drives, due to their inherent advantages including higher power density, superior efficiency and reliability, more precise and rapid torque control, larger power factor, longer bearing, and insulation life-time. Without any proportionaland-integral (PI) controllers, this paper introduces novel first-and higher-order field-oriented sliding mode control schemes. Compared with the traditional PI-based vector control techniques, it is shown that the proposed field oriented sliding mode control methods improve the dynamic torque and speed response, and enhance the robustness to parameter variations, modeling uncertainties, and external load perturbations. While both first-and higher-order controllers display excellent performance, computer simulations show that the higher-order field-oriented sliding mode scheme offers better performance by reducing the chattering phenomenon, which is presented in the first-order scheme. The higher-order field-oriented sliding mode controller, based on the hierarchical use of supertwisting algorithm, is then implemented with a Texas Instruments TMS320F28335 DSP hardware platform to prototype the surface-mounted permanent magnet ac motor drive. Last, computer simulation studies demonstrate that the proposed field-oriented sliding mode control approach is able to effectively meet the speed and torque requirements of a heavy-duty electrified vehicle during the EPA urban driving schedule.

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Instantaneous-current control of PMSM using MPC: Frequency analysis based on sinusoidal correlation

Cited by 14 publications

References 11 publications

Improved PMSM model considering flux characteristics for model predictive‐based current control

Improved PMSM model considering flux characteristics for model predictive‐based current control

Refinement of inverter model considering dead‐time for performance improvement in predictive instantaneous current control

Field Oriented Sliding Mode Control of Surface-Mounted Permanent Magnet AC Motors: Theory and Applications to Electrified Vehicles

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