期刊
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
卷 42, 期 3, 页码 586-597出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0142331219878574
关键词
Extended state observer (ESO); inertia identification; model predictive control (MPC); anti-disturbance; permanent magnet synchronous generator (PMSG)
资金
- National Natural Science Foundation of China [61903322, 61773335]
- Natural Science Foundation of Jiangsu Province [BK20171289]
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources [LAPS19003]
- Six Talent Peaks Foundation of Jiangsu Provincial [KTHY2018038]
- Natural Science Foundation of Yangzhou City for Outstanding Young Scholars [YZ2017099]
- Postgraduate Research & Practice Innovation Program of Jiangsu Province [SJCX19_0890]
This paper deals with the critical issue in a direct-driven permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS): the rejection of internal and external disturbances, including the uncertainties of external environment, rapid wind speed changes in the original parameters of the generator caused by mutative operating conditions. To track the maximum power, a maximum power point tracking strategy based on model predictive controller (MPC) is proposed with extended state observer (ESO) to attenuate the disturbances and uncertainties. In real application, system inertia and the system parameters vary in a wide range with variations of wind speeds and disturbances, which substantially degrade the maximum power tracking performance of wind turbine. The MPC design should incorporate the available model information into the ESO to improve the control efficiency. Based on this principle, a model-based MPC with ESO control structure is proposed in this paper. Simulation study is conducted to evaluate the performance of the proposed control strategy. It is shown that the effect of internal and external disturbances is compensated in a more effective way compared with the ESO-based MPC approach and traditional proportional integral differential (PID) control method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据