Title :
The Nonlinear Controller Design of Generator System with Dynamic Uncertainties
Author :
Wang, Bing ; Ji, Haibo ; Zhu, Jin
Author_Institution :
Coll. of Electr. Eng., Hohai Univ., Nanjing
Abstract :
By combining backstepping techniques and small-gain theorem, a nonlinear controller for generator system with dynamic uncertainties is proposed to make rotor angle and voltage stable. For the high-order model of generator system, the excitation control is designed by the modified backstepping techniques and dynamic uncertainties are controlled by the small-gain method, which render the whole closed-loop system asymptotically stable. Since the controller design is based completely on the nonlinear dynamic system without any linearization, the nonlinear property of the system is used to design the nonlinear robust controller. Simulations have shown the effectiveness of the proposed design method.
Keywords :
asymptotic stability; control system synthesis; electric generators; machine control; nonlinear control systems; robust control; rotors; uncertain systems; asymptoticl stability; backstepping techniques; dynamic uncertainties; excitation control; generator system; high-order model; nonlinear controller design; nonlinear robust controller; rotor angle stability; small-gain theorem; voltage stability; Backstepping; Control system synthesis; Control systems; Design methodology; Nonlinear control systems; Nonlinear dynamical systems; Robust control; Rotors; Uncertainty; Voltage control; backstepping; dynamic uncertainty; generator system; small-gain;
Conference_Titel :
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1675-2
Electronic_ISBN :
978-1-4244-1676-9
DOI :
10.1109/RAMECH.2008.4681366