Improved sliding mode model reference adaptive system speed observer for fuzzy control of direct‐drive permanent magnet synchronous generator wind power generation system

Yan, Jing-Jou; Lin, Heyun; Feng, Yuanjing; Guo, Xinwen; Huang, Yunkai

doi:10.1049/iet-rpg.2012.0081

Cited by 60 publications

(34 citation statements)

References 23 publications

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“…According to the aerodynamic theory of conventional horizontal axis wind turbines with the assumption of neglecting the wind shear and tower shadow effect, the output power and torque can be expressed respectively as [17],…”

Section: Modeling Of Wind Turbinementioning

confidence: 99%

Study on dynamic characteristic of wind turbine emulator based on PMSM

2016

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a b s t r a c tIn this paper, a wind turbine emulator (WTE) based on the load torque dynamic compensation of PMSM is proposed to satisfy the further study of wind power system control technology in laboratory. The basic characteristic of wind turbine is analyzed to compare the wind turbine with its WTE. The dynamic compensation method based on the acceleration feedback is improved to propose the load torque dynamic compensation method to realize the dynamic characteristic simulation of wind turbine. Moreover, a low pass filter (LPF) is adopted at the load torque compensation module to suppress the torque ripple of the wind generator. An entire wind power system experimental platform is built to test the proposed torque compensation method. The results verify the proposed control method.

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Section: Modeling Of Wind Turbinementioning

confidence: 99%

Study on dynamic characteristic of wind turbine emulator based on PMSM

2016

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“…The variable-speed constantfrequency wind energy conversion system (WECS) consists of DFIG (doubly fed induction generator)-based WECS and PMSG (permanent magnet synchronous generator)-based WECS. The PMSG-based WECS was selected to study in this paper, due to the fact that PMSG has many superior characteristics such as wider speed control range, higher reliability, and more efficient performance compared with DIFG [10].…”

Section: Introductionmentioning

confidence: 99%

A PI‐Type Sliding Mode Controller Design for PMSG‐Based Wind Turbine

Zhou

Zhao

et al. 2019

Complexity

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Because the PMSG (permanent magnet synchronous generator)-based WECS (wind energy conversion system) has some uncertainties, the conventional control strategy with poor robustness is sometimes difficult to meet the performance requirements of control. In order to ensure efficient and stability of the system, this paper proposed a novel PI (proportional-integral)-type SMC (sliding mode control) strategy for PMSG-based WECS uncertainties and presented the detailed analysis and design process. Compared with the conventional control method, the PI-type SMC proposed in this paper not only can make the closed-loop system globally stable, but also has a better robustness and slightly reduced the current ripple and distortion. Finally, the simulation results verify the correctness and effectiveness of this algorithm.

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“…Additionally, an enhanced exponential reaching law‐based sliding‐mode control (SMC) was presented for PMSG to reduce the malignant chattering issues and to improve total harmonic distortion property . Meanwhile, an improved sliding mode model reference adaptive system speed observer‐based fuzzy controller was designed for MPPT, which implementation feasibility is validated by a small‐capacity PMSG while the converter is controlled by digital signal processing platform . In general, these advanced control strategies can usually provide a quite satisfactory control performance but may also result in a quite complicated structure, which often limits their implementation in practice.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fractional-order PID control of PMSG-based wind energy conversion system for MPPT using linear observers

Yang

Shu

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper designs a novel adaptive fractional‐order PID (AFOPID) control of a permanent magnetic synchronous generator (PMSG)‐based wind energy conversion system, which attempts to extract the maximum wind power by using a linear perturbation observer. The combinatorial effect of generator nonlinearities and parameter uncertainties, unmodelled dynamics, and stochastic wind speed variation is aggregated into a perturbation, which is then estimated in real time by a linear extended‐state observer called high‐gain state and perturbation observer. Besides, the perturbation estimate is used as an auxiliary control signal which is fully compensated by a fractional‐order PID (FOPID) controller to achieve a globally robust control consistency, simple structure and high reliability, as well as an improved tracking performance compared to that of PID control. In addition, AFOPID does not require an accurate PMSG model while only the measurement of d‐axis current and mechanical rotation speed is required, in which parameter is optimally tuned by particle swarm optimization. Four case studies are carried out, including step change of wind speed, low‐turbulence stochastic wind speed, high‐turbulence stochastic wind speed, and generator parameter uncertainties, respectively. Simulation results verify the effectiveness and superiority of AFOPID compared to that of PID, FOPID, and nonlinear control.

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Improved sliding mode model reference adaptive system speed observer for fuzzy control of direct‐drive permanent magnet synchronous generator wind power generation system

Cited by 60 publications

References 23 publications

Study on dynamic characteristic of wind turbine emulator based on PMSM

Study on dynamic characteristic of wind turbine emulator based on PMSM

A PI‐Type Sliding Mode Controller Design for PMSG‐Based Wind Turbine

Adaptive fractional-order PID control of PMSG-based wind energy conversion system for MPPT using linear observers

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