2021
DOI: 10.22146/ijitee.64511
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Kalman Filter to Improve Performance of PID Control Systems on DC Motors

Abstract: A proportional–integral–derivative (PID) controller is a type of control system that is most widely applied in industrial world. Various tuning models have been developed to obtain optimal performance in PID control. However, the methods are designed under ideal circumstances. This means that the control system which has been built will not work optimally when noise exists. Noise can come from electrical vibrations, inference of electronic components, or other noise sources. Thus, it is necessary to design PID… Show more

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Cited by 6 publications
(3 citation statements)
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“…The problem of electromagnetic compatibility is particularly relevant in control systems used in power electronic devices that emit strong electromagnetic interferences. The proportional-integral-derivative (PID) controller, which is the most used in practice [ 7 , 8 , 9 ], is also widely used in power electronics [ 10 , 11 , 12 , 13 , 14 ]. It is well known that the derivative (D) term is the most sensitive to electromagnetic interference [ 15 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…The problem of electromagnetic compatibility is particularly relevant in control systems used in power electronic devices that emit strong electromagnetic interferences. The proportional-integral-derivative (PID) controller, which is the most used in practice [ 7 , 8 , 9 ], is also widely used in power electronics [ 10 , 11 , 12 , 13 , 14 ]. It is well known that the derivative (D) term is the most sensitive to electromagnetic interference [ 15 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…This technology has demonstrated promising outcomes in various applications for noise reduction. Kalman filtering (KF), an early digital filter, has been widely employed for state estimation in numerous linear systems [20]. Subsequently, to address state estimation challenges in nonlinear systems, KF was developed as extended KF (EKF) to facilitate sensor application for data fusion [21].…”
Section: Introductionmentioning
confidence: 99%
“…2021). Pada dasarnya kinesiotaping berfungsi membantu atau memfasilitasi sistem kerja otot(Yuliawan & Setiawan, 2019). Hasil…”
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