本文選題：自適應無源控制 + 擾動觀測器��； 參考：《控制理論與應用》2017年05期

【摘要】：本文提出了一種基于擾動觀測器的自適應無源控制(perturbation observer-based adaptive passive control,POAPC),并將其用于增加電壓源型多端高壓直流輸電系統(tǒng)(voltage source converter-based multi-terminal high voltage direct current,VSC MTDC)的阻尼.首先定義一個擾動項,其包含多端口間的相互作用、未建模動態(tài)和未知時變外界干擾的綜合效應.之后擴展一個虛擬狀態(tài)來表征該擾動項,進而設計一個擾動觀測器對其進行快速在線估計.該方法通過無源化向每個端口注入附加阻尼以改善系統(tǒng)暫態(tài)響應,并且不需要精確的系統(tǒng)模型或全局狀態(tài)測量.基于四端VSC MTDC系統(tǒng)的4種算例表明:與傳統(tǒng)PI控制、無源控制以及基于擾動觀察器的滑動模態(tài)控制相比,POAPC由于不需要精確系統(tǒng)模型及全局狀態(tài)測量而具有更高的應用靈活性;在各種運行條件下通過有效減少有功功率P_1和無功功率Q_1控制誤差和超調量來獲得更優(yōu)的控制性能;在系統(tǒng)參數不確定場景下將有功功率P_2的峰值變化從11%減少至接近0,魯棒性更強.
[Abstract]:In this paper, an adaptive passive control based on disturbance observer is proposed, which is used to increase the damping of voltage source multiterminal HVDC systems. First, a perturbation term is defined, which includes multi-port interaction, unmodeled dynamic and unknown time-varying external disturbances. Then a virtual state is extended to represent the disturbance term and a disturbance observer is designed to estimate the disturbance term online. In this method, additional damping is injected into each port to improve the transient response of the system by passive injection, and there is no need for accurate system model or global state measurement. Four examples based on four-terminal VSC MTDC system show that compared with traditional Pi control, passive control and sliding mode control based on perturbation observer, POAPC is more flexible in application because it does not need accurate system model and global state measurement. Under various operating conditions, better control performance can be obtained by effectively reducing the control error and overshoot of active power PAPL and reactive power QS-1. In the scenario of uncertain system parameters, the peak change of active power PSP _ 2 is reduced from 11% to nearly 0, which is more robust.
【作者單位】： 昆明理工大學電力工程學院;華南理工大學電力學院;
【基金】：國家重點基礎研究發(fā)展計劃(“973”計劃)(2013CB 228205) 國家自然科學基金項目(51477055) 昆明理工大學自然科學研究基金資助項目— 省人才培養(yǎng)計劃(KKSY201604044) 云南省教育廳科學研究基金項目(KKJB201704007)資助~~
【分類號】：TM721.1;TP273

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本文編號：2011783