scholarly journals Model Reference Adaptive System for the Online Rotor Resistance Estimation in the Slip-Ring Machine Based Test-bench

2018 ◽  
Vol 62 (4) ◽  
pp. 149-154
Author(s):  
Tamás Égető ◽  
Balázs Farkas
Keyword(s):  
Test Bench ◽  
Adaptive System ◽  
Model Reference ◽  
Stator Current ◽  
Model Reference Adaptive System ◽  
Rotor Resistance ◽  
Slip Ring ◽  
Stator Flux ◽  
Rotor Resistance Estimation ◽  
Model Reference Adaptive

Motor control algorithms with high dynamics are generally based on two basic approach field oriented control (FOC) and direct torque control (DTC). The idea of the first one is to decompose the stator current based on the rotor flux, the second one controls the torque based on the stator flux. Therefore, the FOC is very sensitive to the parameter accuracy regarding the drive performance. That is why it is crucial to verify the parameter identification in the real environment. On the other hand, the parameter sensitivity of DTC is much smaller since the stator flux estimation requires only the knowledge of the stator resistance. The article focuses on the verification of rotor resistance identification in the FOC based drive system by means of the slip ring machine based test bench. The recommended procedure calculates the torque based on the stator current and flux to implement model reference adaptive system for online rotor resistance estimation without signal injection.

scholarly journals Model Reference Adaptive System with Finite-Set for Encoderless Control of PMSGs in Micro-Grid Systems

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4844 ◽  
Author(s):  
Mohamed Abdelrahem ◽  
Christoph M. Hackl ◽  
José Rodríguez ◽  
Ralph Kennel
Keyword(s):  
Adaptive System ◽  
Model Reference ◽  
Grid Systems ◽  
Rotor Position ◽  
Model Reference Adaptive System ◽  
Direct Model ◽  
Finite Set ◽  
Micro Grid ◽  
Stator Flux ◽  
Model Reference Adaptive

In micro-grid systems, wind turbines are essential power generation sources. The direct-driven surface-mounted permanent-magnet synchronous generators (SMPMSGs) in variable-speed wind generation systems (VS-WGSs) are promising due to their high efficiency/power density and the avoidance of using a gearbox, i.e., regular maintenance and noise are averted. Usually, the main goal of the control system for SMPMSGs is to extract the maximum available power from the wind turbine. To do so, the rotor position/speed of the SMPMSG must be known. Those signals are obtained by the help of an incremental encoder or speed transducer. However, the system reliability is remarkably reduced due to the high failure rate of these mechanical sensors. To avoid this problem, this paper presents a model reference adaptive system with finite-set (MRAS-FS) observer for encoderless control of SMPMSGs in VS-WGSs. The motif of the presented MRAS-FS observer is taken from the direct-model predictive control (DMPC) principle, where a certain number of rotor position angles are utilized to estimate the stator flux of the SMPMSG. Subsequently, a new optimization criterion (also called quality or cost function) is formulated to select the best rotor position angle based on minimizing the error between the estimated and reference value of the stator flux. Accordingly, the traditional fixed-gain proportional-integral regulator generally employed in the classical MRAS observers is not needed. The proposed MRAS-FS observer is validated experimentally, and its estimation response has been compared with the conventional MRAS observer under different conditions. In addition to that, the robustness of the MRAS-FS observer is tested at mismatches in the parameters of the SMPMSG.

Author response for "Sensorless control for PMSM using model reference adaptive system"

2020 ◽  
Author(s):  
Ahmed G. Abo‐Khalil ◽  
Ali M. Eltamaly ◽  
Mamdooh S. Alsaud ◽  
Khairy Sayed ◽  
Ali S. Alghamdi
Keyword(s):  
Adaptive System ◽  
Sensorless Control ◽  
Author Response ◽  
Model Reference ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive
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