Unified Predictive Current Control of PMSMs with Parameter Uncertainty

Tang, Peng; Dai, Yuehong; Li, Zhaoyang

doi:10.3390/electronics8121534

Cited by 10 publications

(5 citation statements)

References 23 publications

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“…The control robustness, against parametric variations, external disturbance and unknown load, was improved using this control scheme. Another predictive control technique for PMSM current was proposed in [12]. The method uses a two-step-ahead prediction to compensate the delay between the measurements and actuation that causes current ripples.…”

Section: The Special Issuementioning

confidence: 99%

Advanced Control for Electric Drives: Current Challenges and Future Perspectives

Merabet

2020

Electronics

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In the Special Issue “Advanced Control for Electric Drives”, the objective is to address a variety of issues related to advances in control techniques for electric drives, implementation challenges, and applications in emerging fields such as electric vehicles, unmanned aerial vehicles, maglev trains and motion applications. This issue includes 15 selected and peer-reviewed articles discussing a wide range of topics, where intelligent control, estimation and observation schemes were applied to electric drives for various applications. Different drives were studied such as induction motors, permanent magnet synchronous motors and brushless direct current motors.

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Section: The Special Issuementioning

confidence: 99%

Advanced Control for Electric Drives: Current Challenges and Future Perspectives

Merabet

2020

Electronics

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“…The permanent magnet synchronous motor (PMSM) has been widely used in modern industrial fields because of its advantages of having a small size, simple design, high efficiency, and high power density, and it is used in many applications such as numerically controlled machine tools, robots, new energy vehicles, and other fields [1]. In the operation process of PMSM, there are factors such as current coupling, magnetic field saturation, and external or internal unknown interference, which make the motor to become a highly nonlinear system [2].…”

Section: Introductionmentioning

confidence: 99%

Backstepping Sliding Mode Control of a Permanent Magnet Synchronous Motor Based on a Nonlinear Disturbance Observer

Duan

Wang

2022

Applied Sciences

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In this paper, a backstepping sliding mode controller based on a nonlinear disturbance observer (NDO-SMC) is proposed to realize the high-performance speed control of a permanent magnet synchronous motor (PMSM). This paper compares the advantages and disadvantages of the traditional backstepping sliding mode control algorithm (SMC) and integral backstepping sliding mode control algorithm (I-SMC) in the face of mismatched disturbances. In view of the shortcomings of these two algorithms, the idea of using a disturbance observer to observe disturbance and carry out dynamic compensation is proposed, and the composite controller is designed. The overshoot and settling time is improved by 30% and 8 s, respectively, for the proposed NDO-SMC controller compared with the SMC controller. The simulation and experimental results illustrate that the designed controller not only effectively solves the torque jitter problem of SMC, but also improves the overshoot problem caused by the integral module of I-SMC. There is also a better matching degree between the theoretical derivation, the simulation results, and experimental data. It also proves that the composite control algorithm proposed in this paper provides a meaningful solution to the operation disturbance suppression problem of the permanent magnet synchronous motor.

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“…However, the chattering phenomena of the sliding mode observer is the main problem. An interval-varying multi-innovation least squares algorithm is presented in [24]. However, the complexity of the whole control scheme is increased.…”

Section: Introductionmentioning

confidence: 99%

Robust Predictive Control Scheme for Permanent-Magnet Synchronous Generators Based Modern Wind Turbines

2021

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In this article, a deadbeat predictive control (DB-PC) strategy for permanent-magnet synchronous generators (PMSGs)-based modern wind turbines is proposed. The main advantages of the DB-PC technique are its excellent dynamics and its constant switching frequency. However, the main idea of DB-PC is obtaining the actuation voltage for the next sample from the mathematical model of the generator. Therefore, the DB-PC is highly sensitive to mismatches in the parameters of the PMSG. In order to obviate this problem, a disturbance estimator (extended Kalman filter (EKF)) is employed in this work to enhance the robustness of the proposed DB-PC scheme by estimating the total disturbance due to parameter mismatches and adding it to the calculation of the actuation voltage. Furthermore, the same EKF observe the rotor speed and position of the PMSG, i.e., mechanical sensors are not required. Moreover, the EKF is able to reduce the harmonic distortion in the stator currents of the PMSG. The proposed DB-PC strategy is implemented in the laboratory. The experimental results proved the superiority of the proposed DB-PC strategy over the traditional DB-PC technique.

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Unified Predictive Current Control of PMSMs with Parameter Uncertainty

Cited by 10 publications

References 23 publications

Advanced Control for Electric Drives: Current Challenges and Future Perspectives

Advanced Control for Electric Drives: Current Challenges and Future Perspectives

Backstepping Sliding Mode Control of a Permanent Magnet Synchronous Motor Based on a Nonlinear Disturbance Observer

Robust Predictive Control Scheme for Permanent-Magnet Synchronous Generators Based Modern Wind Turbines

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