Performance Simulation Of Various Intelligent Techniques For DC Motor Speed Control
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 4
Abstract
DC motor speed control is the important part of moving drive applications, home appliances and robot manipulators. Therefore, designing an adaptive, efficient, and more robust controller for DC motor speed control is a challenging task for the control engineers. In this paper, various intelligent techniques are designed and implemented for DC motor speed. Performance of intelligent techniques based on PID, fractional order PID, and fuzzy-PID are compared. PID controller parameters (Kp, Ki, Kd) and fractional order PID parameters (Kp, Ki, Kd, λ, µ) are optimally tuned by Genetic Algorithm. On other hand, fuzzy logic is used to tune each parameter of fuzzy-PID. Time domain specification of the speed response such as overshoot, undershoot, settling time, rise time and steady state error is obtained and compared for the considered controller. According to the simulation result, fuzzy-PID perform best regulate the speed for motor in compared with two others. Fractional order PID can increase and more rapidly stabilize the speed of motor for speed disturbance testing. PID controller shows better and more rapidly stabilize the speed of motor for load disturbance testing.
Authors and Affiliations
Subiyanto . , Alfa Faridh Suni, Tigo Watiand Iqlimah Khadari
Keywords
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- EP ID EP388910
- DOI 10.9790/1676-1304021426.
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