多参数失配下鲁棒型双馈风机模型预测电流控制
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作者单位:

1.三峡大学电气与新能源学院;2.国网乌鲁木齐供电公司

中图分类号:

TM315

基金项目:

国家级工程技术研究中心开放基金:太阳能船舶微电网谐振抑制方法与混合储能系统协调控制策略研究,B2022002;宜昌市自然科学基金:“双碳”战略背景下宜昌市工业余热高效动力循环热能发电技术研究,A22-3-008,

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    摘要:

    风机系统MPCC(model predictive current control)是基于系统模型实现的,存在系统参数鲁棒性较差的问题。为解决该问题,提出了一种带有新型滑模趋近率的滑模观测器结合MPCC策略。首先,建立基于电压定向的双馈风机数学模型;其次,建立无差拍模型预测控制系统;最后,构建一种改进的等速伸展项和指数到达项的滑模趋近率,该新型滑模趋近率包括系统状态变量和滑模面函数的功率项,可以以两种不同的形式来表示趋近律,新滑模趋近率的作用是使系统状态更快、抖振更小的收敛到滑模平面,从而提高参数鲁棒性。研究结果表明:该方法与无滑模MPCC和等速趋近率MPCC相比,能有效地抑制系统固有抖振,并提高系统状态到达滑模面的速度。同时,可将平均转矩脉动、电流脉动和相电流THD降低10.54%、24.16%和5.12%。因此,所提出的NSMRL-SMO-MPCC方法能够通过在线补偿扰动实现参数失配情况下对电流的可靠预测,从而提升系统的参数鲁棒性。

    Abstract:

    The MPC control is based on the system model in DFIG,which has the problem of poor robustness of system parameters.Therefore,In this paper,a Sliding Mode Observer(SMO)combined with MPCC control strategy based on new sliding mode reaching law(NSMRL)is proposed.At first,the mathematical model of DFIG by voltage orientation is established.Then,the model of the deadbeat control system is established.Finally,An improved sliding mode reaching rate of isometric extension term and exponential arrival term is constructed,NSMRL includes the system state variable and the power term of the sliding mode surface function, and can represent the approach law in two different forms. The function of the new sliding mode approach rate is to make the system state converge to the sliding mode plane faster and with less buffeting, thus improving the parameter robustness.The results show that proposed method can suppress the inherent chattering of the system effectively and can also increase the speed of the system state reaches the sliding mode surface compared to that of the MPCC without sliding mode and MPCC with constant velocity approach rate methods.Specifically,the average torque ripple,current ripple and phase current THD can be reduced by 10.54%,24.16% and 5.12%,respectively.Therefore,the NSMRL-SMO-MPCC control strategy proposed in this paper can predict the current more reliable by compensating the disturbance online to improve the parameter robustness of the system while the parameters are mismatched.

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  • 收稿日期:2023-07-31
  • 最后修改日期:2023-10-20
  • 录用日期:2023-10-20
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《国外电子测量技术》
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