The paper aims at incorporating intelligent modelling paradigm-the Takagi-Sugeno(TS) model and a conventional pole placement control methods in achieving stability for a single area power system network. Four different operating points describing four different local linear state models are used in obtaining the TS fuzzy model, state estimation based on Ackermann's principle was used to determine the state feedback matrix for the four selected operating points, the system in open loop and in closed loop is simulated at varying parameter conditions. Results indicating effectiveness of the developed controller over other reported control method are generated.