A Comparative Study Of P-I, I-P, Fuzzy And Neuro-Fuzzy Controllers For Speed Control Of Dc Motor Drive
Swasti R. Khuntia, Kanungo Barada Mohanty, S.P. Panda, Cemal Ardıl · Zenodo (CERN European Organization for Nuclear Research) · 2017
This paper presents a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is Proportional- Integral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives.