DC Motor Torque Control using Fuzzy Proportional-Derivative Controllers
Shivanand Pandey1, Bhagirath Pandey2
1Shivanand Pandey,  M. Tech Department of Electrical Engineering, Uttrakharand Technical University, Dehradun, India.
2Bhagirath Pandey, M. Tech Department of Electrical Engineering, Uttrakharand Technical University, Dehradun, India.
Manuscript received on July 27, 2014. | Revised Manuscript received on August 09, 2014. | Manuscript published on August 30, 2014. | PP: 202-207  | Volume-3 Issue-6, August 2014.  | Retrieval Number:  F3390083614/2013©BEIESP

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Abstract: This paper demonstrates the design of a fuzzy logic control system to torque control of a DC motor by using fuzzy rules in Mamdani interference system. So, as to achieve the better control performing results, fuzzy rules and fuzzy sets optimize the input parameters as well as the parameters of fuzzy logic controller, which is defined by Membership Function (MFs). By using the torque- speed characteristic of DC motor we design the simulation model which shows the optimization of torque near to ideal value as well as comparable result between the output values with its input unit step value. The numbers of rule design are much enough to minimize the ripples in its output torque signal. The mathematical modeling of proposed DC motor is also presented. To achieve effective control output the simulink software is used. This proposed paper is able to obtain results for variable load torque. This paper is also describing the comparative description of conventional PID controller technique with fuzzy logic controller technique.
Keywords: DC motor, Fuzzy logic controller, Torque control, Membership function, PID controller.