永磁直驱风力发电系统最大功率跟踪改进型积分滑模控制
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(长沙理工大学电气与信息工程学院,湖南 长沙 410014)

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方云熠(1993—),男,通信作者,硕士研究生,研究方向为智能控制;E-mail:746148258@qq.com
曾喆昭(1963—),男,博士,教授,研究方向为智能计算与智能控制;E-mail:508984293@qq.com
王可煜(1992—),男,硕士研究生,研究方向为智能控制。E-mail:274100667@qq.com

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湖南省教育厅重点项目资助(17A006)


MPPT control with improved integral SMC for D-PMSG wind power generation system
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(School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410014, China)

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    摘要:

    针对永磁直驱风力发电系统的内部参数摄动和外部扰动等问题,基于非线性扩张状态观测器(NLESO)提出了一种实现最大功率跟踪的改进型积分滑模控制方法。该方法使用非线性光滑函数设计了NLESO,对系统的内外扰动等不确定因素进行估计和主动补偿,提高了转速的跟踪能力。引入非线性光滑函数设计了滑模趋近律,消除了传统滑模控制中的高频抖振现象,并基于Lyapunov原理对滑模控制器进行了稳定性分析。仿真结果表明,与传统PI控制相比,该方法不仅响应速度快,无超调无抖振,而且具备良好的抗扰能力,风速突变情况下仍能快速实现最大功率跟踪,在风力发电系统最大功率跟踪控制领域具有较大的应用前景。

    Abstract:

    Considering the internal parameter perturbation and external disturbances of Direct-driven Permanent Magnet Synchronous Generator (D-PMSG) wind power system, an improved integral Sliding Mode Control (SMC) method based on the Nonlinear Extended State Observer (NLESO) is proposed to achieve Maximum Power Point Tracking (MPPT). NLESO is designed by nonlinear smoothing function, and the disturbances and uncertainty are estimated and compensated by NLESO, which improves the tracking ability of the speed. The sliding mode approach rate is designed by nonlinear smooth function which eliminates the high frequency buffeting phenomenon in the traditional SMC, and the stability of the SMC is analyzed based on the Lyapunov principle. The simulation results show that compared with the traditional PI control, the proposed method not only has fast response speed, no overshoot and no chattering, but also has good disturbance rejection ability and can achieve MPPT rapidly in the case of wind speed mutation, so it has great application prospects in the field of MPPT control of wind power system. This work is supported by Key Project of Hunan Education Department (No. 17A006).

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方云熠,曾喆昭,王可煜,等.永磁直驱风力发电系统最大功率跟踪改进型积分滑模控制[J].电力系统保护与控制,2019,47(13):77-83.[FANG Yunyi, ZENG Zhezhao, WANG Keyu, et al. MPPT control with improved integral SMC for D-PMSG wind power generation system[J]. Power System Protection and Control,2019,V47(13):77-83]

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  • 收稿日期:2018-07-15
  • 最后修改日期:2018-09-11
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  • 在线发布日期: 2019-07-03
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