Speed Regulation of a Non-linear Separately Excited DC Motor Using Optimized Fuzzy Logic Control

  • Arpit Jain
  • Piyush Kuchhal
  • Mukul Kumar Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


This paper demonstrates the speed tracking for a separately excited non-linear DC motor using optimized fuzzy logic controller. Rotor speed is varied by changing the armature voltage of the motor while keeping the voltage in the constant torque region. Genetic algorithms optimization-based fuzzy logic control is used to track the speed change, and the results obtained from fuzzy logic control are compared with PID controller. Comparison indicate an improvement in performance for optimized fuzzy logic control exhibiting a reduction in overshoot, transient, and steady-state parameters as compared with PID controller.


Separately excited DC motor Optimized fuzzy logic control Genetic algorithms 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Arpit Jain
    • 1
  • Piyush Kuchhal
    • 2
  • Mukul Kumar Gupta
    • 1
  1. 1.Department of Electronics, Instrumentation and Control EngineeringUniversity of Petroleum and Energy StudiesDehradunIndia
  2. 2.CoESUniversity of Petroleum and Energy StudiesDehradunIndia

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