Control of DC Motor Using Genetic Algorithm Based PID Controller

The paper deals with the optimized tuning of P.I.D controller which is used to control the D C Motor. In this research work different PID tunings techniques are discussed.D.C Motor due to its very simple regulated characteristics is used in this paper. Due to this fact D.C. Motors are widely used in many industrial applications like steel mills, electric trains and many more. Here G.A-P.I.D (Genetic Algorithm – P.I.D) with different performance indices namely Mean Square Error (M.S.E) and Integral of Time multiplied by Absolute Error (I.TA.E) optimization technique is compared with standard P.I.D parameter adjustment technique i.e. Ziegler & Nichols method. Comparison of results are based on standard step responses parameters i.e. maximum overshoot, steady state and rise time.