Extended state observer based integral sliding model control for PMSG variable speed wind energy conversion system

In this paper, a novel extended state observer (ESO) based integral sliding model control (ISMC) approach is proposed to achieve maximum power point tracking (MPPT) for direct-driven permanent magnet synchronous generator (PMSG) variable speed wind energy conversion systems (VS-WECS). The proposed control approach adopts optimum tip speed ratio tracking scheme to realize maximum wind energy capture. Considering strong nonlinear and uncertainty features of VS-WECS, the ISMC is developed on the basis of the rotor angular speed tracking model. The sliding mode surface function consists of the integral term of the rotor angular speed tracking error, which ensures the rotor angular speed tracking without error at stable state. To eliminate the undesired chattering phenomena aroused from the sign function in the sliding mode control law, an ESO is designed to estimate the wind turbine aerodynamic torque. Using torque estimate feedback technique, the gain of sign function has the capability of self-adjustment according to the fluctuation of wind speed. Simulation results show that the proposed control approach has better tracking performance compared with that of conventional PI regulator.

[1]  F. Valenciaga,et al.  High-Order Sliding Control for a Wind Energy Conversion System Based on a Permanent Magnet Synchronous Generator , 2008, IEEE Transactions on Energy Conversion.

[2]  Maria Letizia Corradini,et al.  Robust Control of Variable-Speed Wind Turbines Based on an Aerodynamic Torque Observer , 2013, IEEE Transactions on Control Systems Technology.

[3]  Heung-Geun Kim,et al.  LVRT Scheme of PMSG Wind Power Systems Based on Feedback Linearization , 2012, IEEE Transactions on Power Electronics.

[4]  Jie Chen,et al.  On Optimizing the Aerodynamic Load Acting on the Turbine Shaft of PMSG-Based Direct-Drive Wind Energy Conversion System , 2014, IEEE Transactions on Industrial Electronics.

[5]  Chee Wei Tan,et al.  A study of maximum power point tracking algorithms for wind energy system , 2011, 2011 IEEE Conference on Clean Energy and Technology (CET).

[6]  Palle Andersen,et al.  Comparing PI and Robust Pitch Controllers on a 400kw Wind Turbine by full scale Tests , 1997 .

[7]  Iulian Munteanu,et al.  Optimization of variable speed wind power systems based on a LQG approach , 2005 .

[8]  Yongdong Li,et al.  Adaptive Multi-Mode Power Control of a Direct-Drive PM Wind Generation System in a Microgrid , 2013, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[9]  Abdeldjalil Dahbi,et al.  Realization and control of a wind turbine connected to the grid by using PMSG , 2014 .

[10]  Mukhtiar Singh,et al.  Application of Adaptive Network-Based Fuzzy Inference System for Sensorless Control of PMSG-Based Wind Turbine With Nonlinear-Load-Compensation Capabilities , 2011, IEEE Transactions on Power Electronics.

[11]  Ling Xu,et al.  Conventional and novel control designs for direct driven PMSG wind turbines , 2010 .

[12]  Mohammed Ouassaid,et al.  A performance comparison of a nonlinear and a linear control for grid connected PMSG wind energy conversion system , 2015 .

[13]  Andoni Urtasun,et al.  Modeling of small wind turbines based on PMSG with diode bridge for sensorless maximum power tracking , 2013 .

[14]  Christopher Edwards,et al.  Sliding Mode Control and Observation , 2013 .