Modeling and control of synchronous generator: Adaptive approach

Abstract

Designing of the control system for synchronous generator is difficult task. The problem is that the generators usually work under uncertain load. The generator model is unknown. In this situation the adaptive control approach is accepted. In this paper, a new methodology to design an adaptive control system was propose. The controller was build based on RBF network, which approximates the optimal control law found by solving Euler's equation. The parameters of the controller were correcting on-line by an adaptive law. The second Lyapunov method was used to proof the stability of the control system. Simulation results show that the control system has a good quality.