Improved adaptive backstepping sliding mode control for generator steam valves of non-linear power systems

被引:33
作者
Su, Qingyu [1 ]
Quan, Wanzhen [1 ]
Cai, Guowei [1 ]
Li, Jian [1 ]
机构
[1] Northeast Elect Power Univ, Jilin 132012, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
steam power stations; power generation control; adaptive control; control nonlinearities; variable structure systems; nonlinear control systems; Lyapunov methods; power system stability; closed loop systems; control system synthesis; error compensation; thyristor applications; electric generators; improved adaptive backstepping sliding mode control; generator steam valves; nonlinear power systems; stability problem; single machine infinite bus system; thyristor controlled series compensation; sliding mode variable structure control; excitation control input; virtual control design; Lyapunov function; parameter updating law; nonlinear control law; closed-loop system; improved nonlinear backstepping sliding mode variable structure control approach; parameter identification speed; real-time parameter estimation;
D O I
10.1049/iet-cta.2016.1241
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The stability problem of steam valves in a single machine infinite bus system with thyristor controlled series compensation is addressed through the use of an improved adaptive backstepping method based on error compensation. The method combines sliding mode variable structure control, backstepping control and adaptive control. Initially, an excitation control input and error compensation are simultaneously obtained in the design of virtual control by adaptive backstepping and the Lyapunov method. The Lyapunov function is then constituted in stages to achieve subsystem stability, before obtaining a parameter updating law and a non-linear control law for the closed-loop system. The results for both systems show that the improved non-linear backstepping sliding mode variable structure control approach can have four benefits. It can ensure that the system states are bounded, retain the faster stability of power systems, improve the speed of parameter identification and achieve real-time parameter estimation. Finally, a simulation is presented to illustrate both the effectiveness and the feasibility of the improved control approach.
引用
收藏
页码:1414 / 1419
页数:6
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