Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/37225
Title: Runge-Kutta model predictive speed control for permanent magnet synchronous motors
Authors: Akpunar, Adile
İplikçi, Serdar
Keywords: Digital signal processing (DSP)
Model predictive control (MPC)
Permanent magnet synchronous motor (PMSM)
Variable speed drives
Digital signal processing
Domestic appliances
Electric machine theory
MIMO systems
Model predictive control
Permanent magnets
Predictive control systems
Runge Kutta methods
Speed
Speed control
Speed regulators
Synchronous motors
Two term control systems
Control accuracy
Conventional proportional integrals
Load disturbances
Model predictive
On-line parameter estimations
Permanent Magnet Synchronous Motor
Permanentmagnet synchronous motor (PMSMs)
Electric machine control
Publisher: MDPI AG
Abstract: Permanent magnet synchronous motors (PMSMs) have commonly been used in a wide spectrum ranging from industry to home appliances because of their advantages over their conventional counterparts. However, PMSMs are multiple-input multiple-output (MIMO) systems with nonlinear dynamics, which makes their control relatively difficult. In this study, a novel model predictive control mechanism, which is referred to as the Runge-Kutta model predictive control (RKMPC), has been applied for speed control of a commercial permanent magnet synchronous motor. Furthermore, the RKMPC method has been utilized for the adaptation of the speed of the motor under load variations via RKMPC-based online parameter estimation. The superiority of RKMPC is that it can take the constraints on the inputs and outputs of the system into consideration, thereby handling the speed and current control in a single loop. It has been shown in the study that the RKMPC mechanism can also estimate the load changes and unknown load disturbances to eliminate their undesired effects for a desirable control accuracy. The performance of the employed mechanism has been tested on a 0.4 kW PMSM motor experimentally for different conditions and compared to the conventional Proportional Integral (PI) method. The tests have shown the efficiency of RKMPC for PMSMs. © 2020 by the authors.
URI: https://hdl.handle.net/11499/37225
https://doi.org/10.3390/en13051216
ISSN: 1996-1073
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Teknik Eğitim Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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