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- Title
Adaptive Speed Estimation with Genetic Algorithm for Vector-controlled Permanent Magnet Synchronous Motor Drive.
- Authors
Yung-Chang Luo; Song-Yi Xie; Chia-Hung Lin; Ying-Piao Kuo
- Abstract
An adaptive speed estimation scheme was established for a vector-controlled (VC) permanent magnet synchronous motor (PMSM) drive. The current and voltage of the stator were used to develop a decoupling VC PMSM drive, and the speed, d-axis, and q-axis stator current control loops were designed using the linear PMSM mathematical model. Hall effect current sensors were used to measure the current of the PMSM. A model reference adaptive system (MRAS) was used to develop a speed estimation scheme based on the reactive power of the PMSM. The pole placement was used to design the d-axis and q-axis stator current controllers, and the speed controller was designed using the genetic algorithm (GA). The MATLAB/Simulink® toolbox was used to establish the simulation scheme, and all the control algorithms were realized by a microprocesser control card. Simulation and experimental results (including the estimated rotor speed, stator current, estimated electromagnetic torque, stator flux position angle, and stator flux locus) confirmed the effectiveness of the proposed approach.
- Subjects
PERMANENT magnet motors; MATHEMATICAL decoupling; HALL effect transducers; POLE assignment; REACTIVE power; SPEED
- Publication
Sensors & Materials, 2022, Vol 34, Issue 3,part 4, p1191
- ISSN
0914-4935
- Publication type
Article
- DOI
10.18494/SAM3480