Abstract
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.
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Jain, A., Kuchhal, P., Gupta, M.K. (2018). Speed Regulation of a Non-linear Separately Excited DC Motor Using Optimized Fuzzy Logic Control. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_86
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DOI: https://doi.org/10.1007/978-981-10-5903-2_86
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