Finite time-Lyapunov based approach for robust adaptive control of wind-induced oscillations in power transmission lines

被引:11
|
作者
Ghabraei, Soheil [1 ]
Moradi, Hamed [1 ]
Vossoughi, Gholamreza [1 ]
机构
[1] Sharif Univ Technol, Dept Mech Engn, POB 11155-9567, Tehran, Iran
关键词
Transmission lines; Wind-induced oscillations; Parameter uncertainty; Robust adaptive control; Finite time control; DYNAMIC CHARACTERISTICS; VIBRATION SUPPRESSION; EXCITED VIBRATIONS; CABLES; CONDUCTORS; BEHAVIOR; MODEL; STABILIZATION; STABILITY; SYSTEM;
D O I
10.1016/j.jsv.2016.02.038
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Large amplitude oscillation of the power transmission lines, which is also known as galloping phenomenon, has hazardous consequences such as short circuiting and failure of transmission line. In this article, to suppress the undesirable vibrations of the transmission lines, first the governing equations of transmission line are derived via mode summation technique. Then, due to the occurrence of large amplitude vibrations, non-linear quadratic and cubic terms are included in the derived linear equations. To suppress the vibrations, arbitrary number of the piezoelectric actuators is assumed to exert the actuation forces. Afterwards, a Lyapunov based approach is proposed for the robust adaptive suppression of the undesirable vibrations in the finite time. To compensate the supposed parametric uncertainties with unknown bands, proper adaption laws are introduced. To avoid the vibration devastating consequences as quickly as possible, appropriate control laws are designed. The vibration suppression in the finite time with supposed adaption and control laws is mathematically proved via Lyapunov finite time stability theory. Finally, to illustrate and validate the efficiency and robustness of the proposed finite time control scheme, a parametric case study with three piezoelectric actuators is performed. It is observed that the proposed active control strategy is more efficient and robust than the passive control methods. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:19 / 34
页数:16
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