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Keywords = deadbeat predictive current control (DBPC)

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14 pages, 19256 KB  
Article
Predictive Current Control of Sensorless Linear Permanent Magnet Synchronous Motor
by He Wang, Tao Wu, Youguang Guo, Gang Lei and Xinmei Wang
Energies 2023, 16(2), 628; https://doi.org/10.3390/en16020628 - 4 Jan 2023
Cited by 3 | Viewed by 1791
Abstract
In the vector control system of a tubular oscillating permanent magnet synchronous linear motor, it is difficult to obtain accurate feedback information from the conventional mechanical sensors under bad and complex working conditions. This paper presents a new predictive current control designed to [...] Read more.
In the vector control system of a tubular oscillating permanent magnet synchronous linear motor, it is difficult to obtain accurate feedback information from the conventional mechanical sensors under bad and complex working conditions. This paper presents a new predictive current control designed to estimate the speed of the tubular oscillation permanent magnet synchronous linear motor. It implements two control techniques: The first technique is using the sliding-mode observer’s speed observer for speed estimation. The second is to design a deadbeat predictive current control to replace the PI regulator in the conventional current loop; it solves the difficulties of global optimization and PI parameter setting. The simulation and experimental results show that this method gives a good dynamic performance. Full article
(This article belongs to the Special Issue Advanced Electrical Machine Design and Optimization)
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18 pages, 2153 KB  
Article
Robust Predictive Control Scheme for Permanent-Magnet Synchronous Generators Based Modern Wind Turbines
by Mohamed Abdelrahem, Christoph Hackl and Ralph Kennel
Electronics 2021, 10(13), 1596; https://doi.org/10.3390/electronics10131596 - 2 Jul 2021
Cited by 24 | Viewed by 2374
Abstract
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 [...] Read more.
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. Full article
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