DocumentCode
3215302
Title
Nonlinear Adaptive Robust Governor Control for Turbine generator
Author
Li, Wenlei ; Lan, Ting ; Lin, Weixing
Author_Institution
Sch. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
fYear
2010
fDate
9-11 June 2010
Firstpage
820
Lastpage
825
Abstract
This paper presents a design approach to nonlinear adaptive control of turbine speed governor systems with parametric uncertainties and exogenous disturbances. It is shown that the stabilizing control law with desired L2 gain from the disturbance to regulated output can be designed by the dynamic surface control method in a recursive way without linearization. Based on this method, both the design procedure and the derived tracking controller itself are simplified, and he derived controller guarantees that the output of resultant closed-loop system converges to the stable-state operation point with the L2 performance. Besides, the dynamics of the system can be adjusted via an appropriate choice of design parameters of the controller. Simulation results demonstrate that the proposed controllers guarantee dynamic stability of the system regardless of the system uncertainties and disturbances.
Keywords
adaptive control; angular velocity control; closed loop systems; control system synthesis; machine control; nonlinear control systems; robust control; stability; tracking; turbogenerators; uncertain systems; dynamic stability; dynamic surface control method; exogenous disturbances; nonlinear adaptive robust governor control; parametric uncertainties; resultant closed-loop system; stabilizing control law; system disturbances; system uncertainties; tracking controller; turbine speed governor systems; Adaptive control; Backstepping; Control systems; Nonlinear control systems; Power system dynamics; Power system stability; Power system transients; Programmable control; Robust control; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location
Xiamen
ISSN
1948-3449
Print_ISBN
978-1-4244-5195-1
Electronic_ISBN
1948-3449
Type
conf
DOI
10.1109/ICCA.2010.5524071
Filename
5524071
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