an indirect adaptive fuzzy sliding mode controller for stabilization of multi-machine power systems

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator speed deviation and accelerator power are selected as fuzzy logic system inputs. a new sliding mode control law achieved by changing the sliding condition and the undesirable chattering has been removed by using of a continuous function. based on the lyapunov synthesis, adaptation laws are developed. performance of the proposed stabilizer is studied for a two-area four-machine power system. simulation results show the effectiveness of the proposed controller in comparison with multi-band power system stabilizer (mb-pss), classical adaptive fuzzy sliding mode stabilizer and adaptive fuzzy sliding mode stabilizer with a proportional integral function (pi).