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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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energies-13-01216.pdf | 4.84 MB | Adobe PDF | View/Open |
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