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Based on Hamiltonian energy theory, this paper proposes a robust nonlinear controller for the wind turbine with doubly fed induction generator (DFIG), such that the closed-loop system can achieve its stability. Furthermore, in the presence of disturbances, the closed-loop system is finite-gain L2 stable by the Hamiltonian controller. The Hamiltonian energy approach provides us a physical insight and...
By combining backstepping techniques and small-gain theorem, a nonlinear controller for generator system with dynamic uncertainties is proposed to make rotor angle and voltage stable. For the high-order model of generator system, the excitation control is designed by the modified backstepping techniques and dynamic uncertainties are controlled by the small-gain method, which render the whole closed-loop...
Based on Hamiltonian energy theory, this paper proposes a water-gate and excitation controller for dual-excited synchronous generator driven by hydroturbine, such that both the rotor angle and voltage can achieve their stability. The system consists of a hydraulic turbine and a synchronous generator and is described by a sixth-order model. Through Hamiltonian energy design techniques, the system can...
This paper investigates the problem of robust adaptive control for a class of nonlinear systems, called polynomial lower-triangular form (pLTF), which not only expands LTF to a more general case, but also consists of three types of uncertainties: parametric uncertainties, uncertain nonlinearities and dynamic uncertainties. The proposed design approach joins the tool of power integrator with small-gain...
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