New Back-stepping Adaptive Optimal Excitation Controller Based on STF

In this paper, in order to adapt to the nonlinear uncertain characters of the generator excitation system, resolve the large scale stability of the excitation system, by the backstepping design methods and the nonlinear state parameter estimation technology, a new nonlinear robust adaptive backstepping optimal excitation control (NRAOEC) method is proposed based on recursive design without linearization treatment. In the new control methods, the operating points of the system are tracked by STF estimate and calculated synchronously without sensors in the NRAOEC. Comparing with the EKF state estimation, STF state estimation methods can improve the estimation speed of the state observer, and adapt to the nonlinear characteristics of the excitation systems. In order to prove the new methods to be well for the excitation system stability, the Simulation experimental is conducted. The simulation resuls show comparing with traditional nonlinear robust adaptive back-stepping control method, NRAOEC is not only robust to the disturbance and adaptive to the uncertain parameters, but also can realize the optimal excitation control, improve convergence speeds of the state parameters by changing the values of weighting coefficients, and minimize the impact of disturbance by solving the LMI to obtain the optimal control law against the worst disturbance and improve the stability of the generating system.