Design of an augmented automatic choosing control with constrained input by Hamiltonian and absolute antiwindup measures

In this paper, we present a novel approach for a nonlinear feedback control which is called an augmented automatic choosing control (AACC) of the antiwindup type for nonlinear systems with constrained inputs. Constant terms which arise from section-wise linearization of a given nonlinear system are treated as coefficients of a stable zero dynamics. Parameters included in the control are suboptimally selected by the genetic algorithm so as to minimize a performance made of the Hamiltonian and the absolute antiwindup measure. This approach is applied to a field excitation control problem of a power system to demonstrate the superiority of the AACC. Simulation results show that the new controller can improve performance remarkably well. This work was presented in part at the 12th International Symposium on Artificial Life and Robotics, Oita, Japan, January 25–27, 2007