Decoupled sliding mode with type 2 fuzzy-neural network controller for multi-machine power systems

In this paper, we propose a decoupled sliding mode with type 2 fuzzy neural network control scheme that has the ability to enhance the transient stability and achieve voltage regulation of on a two-generator infinite bus power system. The design of this controller involves the direct feedback linearization (DFL) technique and the sliding mode (SM) control theory. In this approach, the whole system is decoupled into two subsystems and the state response of each subsystem can be designed to be governed by a corresponding sliding surface. Then a hierarchical sliding mode control approach is designed. The main drawback of SMC is the calculation of equivalent control. To construct the equivalent control law, an adaptive type 2 fuzzy neural network controller is used to approximate the unknown parts of the system. The stability of the closed-loop system is proved mathematically based on the Lyapunov method. Simulation results illustrate the performance of the developed approach regardless of the system operating conditions.