Improved sliding mode model reference adaptive system speed observer for fuzzy control of direct-drive permanent magnet synchronous generator wind power generation system
- Author(s): Jianhu Yan 1 ; Heyun Lin 1 ; Yi Feng 1 ; Xun Guo 1 ; Yunkai Huang 1 ; Z.Q. Zhu 2
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View affiliations
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Affiliations:
1:
Servo Control Engineering Center of Education Ministry, Southeast University, Nanjing 210096, People's Republic of China;
2: Department of Electronic and Electrical Engineering, University of Sheffield, Mappin St., Sheffield S1 3JD, UK
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Affiliations:
1:
Servo Control Engineering Center of Education Ministry, Southeast University, Nanjing 210096, People's Republic of China;
- Source:
Volume 7, Issue 1,
January 2013,
p.
28 – 35
DOI: 10.1049/iet-rpg.2012.0081 , Print ISSN 1752-1416, Online ISSN 1752-1424
This study presents an improved sliding mode model reference adaptive system (SM-MRAS) speed observer for the fuzzy control of direct-drive wind power generation system with a permanent magnet synchronous generator (PMSG). The SM-MRAS speed sensorless observer is described and the corresponding algorithm is derived. The designed fuzzy controller is compared with the conventional PI controller by simulations and experiments. A dc motor is controlled to simulate the wind turbine and an active machine-side converter with space vector pulse width modulation control is adopted to realise the maximum power extraction. A 250-W PMSG experimental platform is built and the experiment results verify the validity of the proposed SM-MRAS speed observer.
Inspec keywords: synchronous motor drives; angular velocity control; control system synthesis; PI control; sensorless machine control; machine control; variable structure systems; fuzzy control; synchronous generators; DC motor drives; wind turbines; permanent magnet generators; PWM power convertors; model reference adaptive control systems; power generation control; wind power plants; observers
Other keywords:
active machine-side converter;
Subjects: Multivariable control systems; Synchronous machines; Velocity, acceleration and rotation control; Self-adjusting control systems; Wind power plants; Simulation, modelling and identification; Control of electric power systems; Power convertors and power supplies to apparatus; Fuzzy control
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-
31)
- M. Comanescu , L. Xu . Sliding-mode MRAS speed estimators for sensorless vector control of induction machine. IEEE Trans. Ind. Electron. , 1 , 146 - 154
-
32)
- Z. Ibrahim , E. Levi . A comparative analysis of fuzzy logic and PI speed control in high-performance AC drives using experimental approach. IEEE Trans. Ind. Appl. , 5 , 1210 - 1219
-
33)
- J. Brahmi , L. Krichen , A. Ouali . A comparison study between three sensorless control strategies for PMSG in wind energy conversion system. Appl. Energy , 9 , 1565 - 1573
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34)
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35)
- M.F. Iacchetti . Adaptive tuning of the stator inductance in a rotor-current-based MRAS observer for sensorless doubly fed induction-machine drives. IEEE Trans. Ind. Electron. , 10 , 4683 - 4692
-
36)
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38)
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39)
- C.B. Butt , M.A. Hoque , M.A. Rahman . Simplified fuzzy-logic-based MTPA speed control of IPMSM drive. IEEE Trans. Ind. Appl. , 6 , 1529 - 1535
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40)
- M.N. Uddin , M.A. Rahman . High-speed control of IPMSM drives using improved fuzzy logic algorithms. IEEE Trans. Ind. Electron. , 1 , 190 - 199
-
41)
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-
42)
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-
43)
- Yan, J., Lin, H., Feng, Y., Huang, M., Guo, Y.: `Speed estimation with sliding mode model reference adaptive system for PM generator in direct drive wind conversion system', Proc. IEEE ICEMS, 2011, Beijing, China, p. 1–5.
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