T. Nawata and H. Takata (Japan)
Augmented Automatic Choosing Control, Nonlinear Control, Zero Dynamics, Genetic Algorithm, Lyapunov Function
In this paper we present a novel approach of a nonlinear feedback control, which is called augmented automatic choosing control (AACC). Constant terms which arise from sectionwise linearization of a given nonlinear system are treated as coefficients of a stable zero dynamics. Parameters included in the control are sub-optimally selected so as to maximize a measure of a stable region in the sense of Lyapunov with the aid of the genetic algorithm. This approach is applied to a field excitation control problem of power system to demonstrate the splendidness of the AACC. Simulation results show that the new controller enables to expand the real stable region remarkably.
Important Links:
Go Back
