2019
DOI: 10.1109/tmag.2019.2933176
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Fractional Order PID Control for Reduction of Vibration and Noise on Induction Motor

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Cited by 31 publications
(16 citation statements)
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“…To make sure the rotary valve speed can track the change of phase-modulated pulse and suppress the interference strongly, the closed-loop PID control system, generated by rotation speed feedback of linearized openloop speed control system, is introduced, and PID controller is added in forward channel of V(s) serially to realize the real-time adjustment and to enable the rotary valve speed reach the set value quickly and suppress the interference [19,20], as the block diagram shows in Figure 2 [13].…”
Section: Control Modelmentioning
confidence: 99%
“…To make sure the rotary valve speed can track the change of phase-modulated pulse and suppress the interference strongly, the closed-loop PID control system, generated by rotation speed feedback of linearized openloop speed control system, is introduced, and PID controller is added in forward channel of V(s) serially to realize the real-time adjustment and to enable the rotary valve speed reach the set value quickly and suppress the interference [19,20], as the block diagram shows in Figure 2 [13].…”
Section: Control Modelmentioning
confidence: 99%
“…One of the disadvantages of PID controllers is the sensitivity to the variations in the system parameters and set point variations of speed and load. Therefore, the PID controllers are not completely efficient for nonlinear variable speed drive systems as electric vehicles and motor drive system [5].…”
Section: Introductionmentioning
confidence: 99%
“…The fractional integral is blended with three‐degree‐of‐freedom PID controller for regulating frequency and power deviation of power system with a noticeable comparative analysis 27 . The superiority of FOPID controller is also validated over conventional controllers in different fields such as pneumatic position servo system and induction motor to reduce noise and vibration 28,29 . In last few decades, Fuzzy logic controller (FLC) is preferred in different fields due to its supremacy to deal with nonlinearities, uncertainties and the ingenuity to resolve inexact mathematical model 30 .…”
Section: Introductionmentioning
confidence: 99%