ABSTRACT Machines have served the humanity starting from a simple ceiling fan to higher industrial applications such as lathe drives and conveyor belts. This research work aims at providing an appropriate software based control system because it provides computer featured applications, prevents rapid signal loss, reduces noise while also significantly improves the steady state and dynamic response of the motor. In this research paper, we have worked on DC motors due to its significant advantages over other types of machine drives. We have first individually studied Fuzzy and ANFIS (Adaptive Neuro-Fuzzy Interference System) controller in controlling speed for a separately excited DC motor. Afterwards, we have analyzed both results to conclude that which technique is better to be adopted for precisely controlling the speed of DC motor. Outcomes from MATLAB fuzzy logic toolbox for simulation of our schematic has been provided in this research work. Our study parameters include input voltage of DC motor, its speed, percentage overshoot and rising time of the output signal. Our proposed research has interpreted the outcomes that ANFIS controller is better than Fuzzy controller because it produces less percentage overshoot and causes less distortion of the output signal as the overshoot percentage of ANFIS controller is 8.2% while that of Fuzzy controller is 14.4%.
Cite this paper
Jilani, A. , Murawwat, S. and Jilani, S. (2015) Controlling Speed of DC Motor with Fuzzy Controller in Comparison with ANFIS Controller. Intelligent Control and Automation, 6, 64-74. doi: 10.4236/ica.2015.61008.
 Bansal, U.K. and Narvey, R. (2003) Speed Control of DC Motor Using Fuzzy PID Controller. Advance in Electronic and Electric Engineering, 3, 1209-1220.
 Afrasiabi, N. and Yazdi, M.H. (2013) DC Motor Control Using Chopper. Global Journal of Science, Engineering and Technology, 8, 67-73.
 Atri, A. and Ilyas, Md. (2012) Speed Control of DC Motor Using Neural Network Configuration. International Journal of Advanced Research in Computer Science and Software Engineering, 2, 209-212.
 Saleem, F.A. (2013) Dynamic Modeling, Simulation and Control of Electric Machines for Mechatronics Applications. International Journal of Control, Automation and Systems, 1, 30-42.
 Kushwah, M. and Patra, A. (2014) Tuning PID Controller for Speed Control of DC Motor Using Soft Computing Techniques—A Review. Advance in Electronic and Electric Engineering, 4, 141-148.
 Waghmare, R.J., Patil, S.B., Shid, U.S. and Siddha, U.Y. (2013) Need of Electronic Starter for DC Motor. International Journal of Science, Engineering and Technology Research, 2, 1203-1206.
 Addasi, E.S. (2013) Modelling and Simulation of DC-Motor Electric Drive Control System with Variable Moment of Inertia. ACEEE International Journal on Electrical and Power Engineering, 4, 52-57.
 Gupta, R. and Ruchika (2013) Thyristor Based DC Motor Control with Improved PF & THD. International Journal on Electrical Engineering and Informatics, 5, 519-536.
 Suradkar, R.P. and Thosar, A.G. (2012) Enhancing the Performance of DC Motor Speed Control Using Fuzzy Logic. IJERT, 1, 103-110.
 Munde, V. and Jape, V.S. (2013) Fuzzy Logic for Controlling Speed of DC Motor. IJES, 2, 33-39.
 Salim, Ohri, J. and Naveen (2013) Speed Control of DC Motor using Fuzzy Logic based on LabView. International Journal of Scientific & Research Publications, 3, 1-5.
 Dewangan, A.K., Shukla, S. and Yadu, V. (2012) Speed Control of a Separately Excited DC Motor Using Fuzzy Logic Control Based on Matlab Simulation Program. International Journal of Scientific & Technology Research, 1, 52-54.
 Omar, B.A., Haikal, A.Y. and Areed, F.F. (2012) An Adaptive Neuro-Fuzzy Speed Controller for a Separately Excited DC Motor. International Journal of Computer Applications, 39, 29-37.
 Saini, M. and Sharma, N. (2012) Speed Control of Separately Excited DC Motor Using Computational Method. International Journal of Engineering Research & Technology (IJERT), 1, 86-93.
 Kushwah, R. and Wadhwani, S. (2013) Speed Control of Separately Excited DC Motor Using Fuzzy Logic Controller. International Journal of Engineering Trends and Technology (IJETT), 4, 2518-2523.
 Sailan, K. and Kuhnert, K-D. (2013) DC Motor Angular Position Control Using PID Controller for the Purpose of Controlling the Hydraulic Pump. International Conference on Control, Engineering & Information Technology (CEIT’13), Proceedings Engineering & Technology, 1, 22-26.
 Thorat, A.A., Yadav, S. and Patil, S.S. (2013) Implementation of Fuzzy Logic System for DC Motor Speed Control Using Microcontroller. International Journal of Engineering Research and Applications (IJERA), 3, 950-956.
 Ahmed, H., Singh, G., Bhardwaj, V., Saurav, S. and Agarwal, S. (2013) Controlling of DC Motor Using Fuzzy Logic Controller. Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013), DIT University, 6-8 April 2013, 666-670.
 Dechrit, M., Benchalak, M. and Petrus, S. (2011) Wheelchair Stabilizing by Controlling the Speed Control of Its DC Motor. World Academy of Science, Engineering and Technology, 310-314.
 Gupta, R., Lamba, R. and Padhee, S. (2012) Thyristor BasedSpeed Control Techniques of DC Motor: A Comparative Analysis. International Journal of Scientific and Research Publications, 2, 14-18.
 Meha, S.A., Haziri, B., Gashi, L.N. and Fejzullahu, B. (2011) Controlling DC Motor Speed Using PWM from C# Windows Application. 15th International Research/Expert Conference Trends in the Development of Machinery and Associated Technology TMT 2011, Prague, 12-18 September 2011.
 Singhal, R., Padhee, S. and Kaur, G. (2012) Design of Fractional Order PID Controller for Speed Control of DC Motor. International Journal of Scientific and Research Publications, 2, 1-8.
 Sadiq, A., Mamman, H.B. and Ahmed, M. (2013) Field Current Speed Control of Direct Current Motor Using Fuzzy Logic Technique. International Journal of Information and Computation Technology, 3, 751-756.