Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO. (22nd August 2022)
- Record Type:
- Journal Article
- Title:
- Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO. (22nd August 2022)
- Main Title:
- Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO
- Authors:
- Luo, Rongfu
Wang, Zenghui
Sun, Yanxia - Other Names:
- Al Basir Fahad Academic Editor.
- Abstract:
- Abstract : In the real applications, we found that it is difficult to achieve good control performance through manually tuning proportional–integral (PI) parameters of phase locked loop (PLL) and speed-loop of Luenberger observer (LO) for the PMSM sensorless control system. Therefore, this paper is to use the particle swarm optimization (PSO) algorithm to optimize the PI parameters of PLL and speed-loop of Luenberger observer of the system. Firstly, the ranges of PLL parameters are obtained by analyzing the PLL subsystem stability. Then, the ranges of PI parameters of PLL and speed-loop are set based on theoretical estimation and empirical values. The control system model is realized in MATLAB/Simulink that considers the constraints such as the saturation. The integral time absolute error is the objective function, and the PSO with different topologies is used to optimize the PI parameters. The simulation and experimental results show that the proposed method is feasible, and the optimized parameters can effectively improve the precision of position estimation and speed estimation. Moreover, the simulations and experiments are carried out to verify the robustness of the proposed method, and the results show that the optimized system can achieve good performance when there are uncertainties or disturbances.
- Is Part Of:
- Modelling and simulation in engineering. Volume 2022(2022)
- Journal:
- Modelling and simulation in engineering
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-22
- Subjects:
- Engineering -- Simulation methods -- Periodicals
Engineering -- Mathematical models -- Periodicals
620.004 - Journal URLs:
- https://www.hindawi.com/journals/mse/ ↗
- DOI:
- 10.1155/2022/3328719 ↗
- Languages:
- English
- ISSNs:
- 1687-5591
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 23332.xml