Optimal control of PMSMs using model predictive control

Matsutani, Shintaro; Zanma, Tadanao; Kawai, Kenji; Ishida, M.; Imura, Akihiro; Fujitsuna, Masami

doi:10.1109/iecon.2008.4758143

Cited by 16 publications

(19 citation statements)

References 14 publications

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Section: Introductionmentioning

confidence: 99%

“…Thus, we are developing a novel current control method based on the model predictive control theory [3], [4]. In [3], model predictive control based current control for the three phase load in αβ coordinates has been proposed. In the work, the authors demonstrate that the proposed method can achieve better current response performance than the conventional hysteresis comparators and triangular pulse width modulation (PWM).…”

Section: Introductionmentioning

confidence: 99%

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

Imura¹,

Takahashi²,

Fujitsuna³

et al. 2011

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

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We have proposed a novel approach for permanent magnet synchronous motors based on model predictive control. This paper describes a frequency analysis based on a single sinusoidal correlation in order to clarify the control performance of the model predictive instantaneous current control (MPIC). For MPIC, the proposed analysis method allows us to analyze the gain and phase characteristics which has not been discussed explicitly so far in other works.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Imura¹,

Takahashi²,

Fujitsuna³

et al. 2011

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society

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“…Although the real time requirements may restrict the application of advanced control method to current loops, fortunately, owing to the fast development of computing hardware, it becomes possible to implement these controllers in current loops. There are reports on the application of different advanced control algorithms in current controls for PMSM systems, including model predictive control [39,40], model reference adaptive control [8], with simulation and experimental verification results.…”

Section: Introductionmentioning

confidence: 99%

Disturbance rejection control method for permanent magnet synchronous motor speed-regulation system

Xia

Zhou

2012

Mechatronics

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“…Finally, the predictive current with feedback compensation will be applied into the cost function to select the most optimized voltage vector combination. Still, taking the quadrature axis as an example, when the cost function reaches a minimum value, it will satisfy the necessary condition (14). Then ( + 1) can be derived by combining (18) with (14),…”

Section: Feedback Correctionmentioning

confidence: 99%

“…It can control current and torque of a converter [11][12][13][14]. Conventional FCS-MPC predicts current with 7 different voltage vectors and selects the most optimized vector with a cost function.…”

Section: Introductionmentioning

confidence: 99%

Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization

Sheng

Ji³

2018

Mathematical Problems in Engineering

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The servo system of a permanent-magnet synchronous motor usually consists of current, speed, and position loops. Compared with conventional PI control, finite-control-set model predictive control (FCS-MPC) has the advantage of fast response. Conventional FCS-MPC relies on the precise parameters of system model and has large current ripple. To address that problem, this paper proposed an improved FCS-MPC based on duty ratio optimization in synchronous rotating reference frame. To get more precise voltage vector, the proposed FCS-MPC selects the optimal vector combination and, respectively, calculates the time duration. Moreover, feedback correction is also applied to improve the robustness of the control strategy. The simulation results validate the effectiveness of the algorithm.

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Optimal control of PMSMs using model predictive control

Cited by 16 publications

References 14 publications

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

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

Disturbance rejection control method for permanent magnet synchronous motor speed-regulation system

Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization

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