Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation

Brosch, Anian; Wallscheid, Oliver; Böcker, Joachim

doi:10.1109/ojia.2021.3066105

Cited by 25 publications

(27 citation statements)

References 40 publications

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“…In the context of PI-FOC, extensions can be applied to reduce the deterioration caused by the current harmonics to enable the utilization of the overmodulation range [5][6][7][8][9][10]. In [5], low-pass filters in the feedback path are used to suppress current harmonics.…”

Section: A State-of-the-art Techniquesmentioning

confidence: 99%

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Brosch

Wallscheid

Böcker

2023

IEEE Trans. Power Electron.

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Section: A State-of-the-art Techniquesmentioning

confidence: 99%

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Brosch

Wallscheid

Böcker

2023

IEEE Trans. Power Electron.

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“…2) Current Vector Control (CVC) Closed-loop current vector controllers (CVC) were also employed to achieve six-step operation [16]- [22]. The PIregulator is initially designed to control the fundamental current vector.…”

Section: ) Voltage Angle Torque Control (Vatc)mentioning

confidence: 99%

“…Reference [22] presents a model predictive current vector controller that can operate in the linear, overmodulation, and six-step regions. A harmonic reference generator is used to control the instantaneous current vector by estimating the current harmonics and adjusting the reference currents accordingly.…”

Section: ) Voltage Angle Torque Control (Vatc)mentioning

confidence: 99%

“…A harmonic reference generator is used to control the instantaneous current vector by estimating the current harmonics and adjusting the reference currents accordingly. Reference [22] uses a parameter-dependent open-loop solution for torque regulation, which relies on the accuracy of the machine model. A steady-state error in torque (mainly due to the error in the d − axis current) can be observed.…”

Section: ) Voltage Angle Torque Control (Vatc)mentioning

confidence: 99%

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Deadbeat Flux Vector Control as a One Single Control Law Operating in the Linear, Overmodulation, and Six-Step Regions With Time-Optimal Torque Control

Khatib

Gerling

Saur

2022

IEEE Open J. Ind. Applicat.

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This article proposes an enhanced version of the Deadbeat Flux Vector Controller (DBFC) as a one single control law which can operate in the entire torque-speed plane. The operation at any feasible modulation index can be accomplished by adequate determination of the flux trajectories at the different operating regions (e.g., PWM, overmodulation (I and II), and six-step). Continuous and seamless transition between the four operating regions is guaranteed, where the modulation index changes linearly with speed between PWM and six-step (without abrupt change in torque or acoustic problems). With the proposed strategy, undesirable torque dynamics, stability problems, and increased computational efforts associated with using multiple control laws are avoided. The transient performance of DBFC at the maximum voltage limit is analyzed in detail in the flux plane. A time-optimal torque control algorithm is developed to achieve the fastest possible torque dynamics and to considerably reduce the settling time, without the use of a voltage margin. The torque can be controlled with high accuracy and high robustness to machine parameter variations. With DBFC, no trade-off between good steady-state six-step behavior and good transient performance is needed due to the decoupling of switching and calculation frequencies. The proposed DBFC controller offers valuable features, and it is simple to implement. Simulation and experimental results are provided to validate the proposed control algorithm, which is implemented on an automotive microcontroller with a high-power/high-performance automotive traction machine (IPMSM).

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“…An integrated harmonic reference generator was presented, with the control framework allowing for both fast dynamic torque response during transients and maximum utilization of the drive system in the entire operating range without switching between different control strategies. However, the control method requires high precision of the driving model and needs to integrate parameters for online identification or observation models, meaning that the control model is more complex in application [16].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of Permanent Magnet Synchronous Motor Based on State Transition Constraint Method

Gao

Zhang

Fan

et al. 2021

Mathematical Problems in Engineering

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Permanent magnet synchronous motors are widely used and have sufficient development prospects in the drive systems of electric vehicles. Traditional model predictive control (MPC) methods are shown to achieve good control performance by tracking the d- and q-axis current as well as limiting the current amplitude. However, the dynamic response performance and current harmonics during the switching process are not considered in the traditional MPC. Therefore, this paper proposes an MPC that can effectively improve control performance, where the switch transfer sequence in the switch constraint module is considered in the improved model. The state transition error is obtained from the switch constraint module according to the current switch state and the transition probability, after which, the integration into the cost function in which the driving error, tracking error, and constraint error are considered. A reinforcement learning (RL) algorithm is used to obtain the weight coefficient of the transition error term in the constraint module for automatically determining the best switch state for the next control period using the cost function. Simulation tests show that the total harmonic distortion of the phase current based on the improved MPC is 978.4%, less than 2843.0% of the traditional MPC method under 20 Nm at 1000 rpm. The torque response time of the motor is reduced by 0.026 s, whereas the simulation results indicate that the 100 km acceleration performance of an electric vehicle is improved by 9.9%.

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Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation

Cited by 25 publications

References 40 publications

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Deadbeat Flux Vector Control as a One Single Control Law Operating in the Linear, Overmodulation, and Six-Step Regions With Time-Optimal Torque Control

Model Predictive Control of Permanent Magnet Synchronous Motor Based on State Transition Constraint Method

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