Adaptive robust H∞ control of the generator excitation system
Üst veriTüm öğe kaydını göster
KünyeSun, L. Y., Feng, J., Dimirovski, G.M., & Zhao, J. (2009). Adaptive robust H∞ control of the generator excitation system. In ACC '09: American Control Conference, 2009 (pp. 2128-2133). Piscataway, NJ: IEEE. http://dx.doi.org/10.1109/ACC.2009.5160228
The robust Hinfin control problem for the generator excitation system with the damping coefficient uncertainty and external disturbances, is addressed. Storage functions of the control system are constructed based on modified adaptive backstepping sliding mode control method and Lyapunov method. A nonlinear robust Hinfin controller and a parameter updating law are obtained simultaneously. The controller can not only attenuate the influences of external disturbances on the system output, but also has strong robustness for system parameters variation. Since the controller design is based completely on the nonlinear dynamic system without any linearization, the nonlinear property of the dynamic system is well preserved. The simulation results show that more rapid speed response and stronger robustness can be obtained by the proposed method than the conventional adaptive backstepping and adaptive backstepping sliding mode control methods.
KaynakACC '09: American Control Conference, 2009
Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.
This paper presents new circuits for realizing both current-mode and voltage-mode proportional-integral-derivative (PID), proportional-derivative (PD) and proportional-integral (PI) controllers employing second-generation ...
Synthesis and optimization of transient performances for underdamped second-order linear system based on the switching control strategy In this paper, the synthesis and optimization problems of the transient performances, such as overshoot and setting time, of the output response with respect to a step signal for an under-damped second-order linear system ...
In this paper, the state equation for the dynamics of quarter-car is established, and a stable robust sliding mode control law based on RBF neural network is presented for the vehicle slip ratio control. In addition, a ...