Design of a nonlinear excitation controller for a synchronous generator using the concept of exact stochastic feedback linearization

Coordinated control of multiple HVDC links using input–output exact linearization

“…The idea of linearization feedback has not much been used in the power system area. However, the idea has been used for excitation controllers in Synchronous Generators [16][17][18][19][20][21] and for AC/DC power systems concerning only one HVDC link in parallel with ac lines [22][23][24]. To the best knowledge of the authors no papers concerning coordinated control of several HVDC link using the approach of exact linearization have been published.…”

Discontinuous Controller for Power Systems: Sliding-Mode Block Control Approach

“…Step 2: Taking the derivative of (29) along the trajectories of (20)- (21), results in (34) where and , . From relation (27) it follows .…”

“…The control schemes of synchronous machines are commonly based on a reduced-order linearized model and classical control algorithms that ensure asymptotic stability of the equilibrium point under small perturbations [1], [2]. Recently, to overcome the limitation of linear control, attention has been focused on implementation of modern control technique, e.g., an adaptive linear control [3]- [6], passivity-based approach [7]- [10], intelligent control such as fuzzy logic [11]- [13] and neural networks [14], control based on direct Lyapunov method [15], [16], feedback linearization (FL) technique [17]- [21], and control based on adaptive FL [22], [23]. Manuscript All of the mentioned controllers provide larger stability margins with respect to traditional ones.…”

Adaptive H-infinity control of synchronous generators with steam valve via Hamiltonian function method

“…Standard PID controllers, which even if are still used widely at present, can hardly guarantee the high workingperformance of power systems under all working conditions. Recently, attention has been focused on implementation of modern control technique, e.g., an adaptive linear control [1], passivity-based approach [2,3], control based on direct Lyapunov method [4], adaptive nonlinear control [5], feedback linearization (FL) technique [6], and control based on adaptive FL [7]. Most of the techniques are based on linearization.…”