SISTEM KENDALI PID DAN ADAPTIF UNTUK PENGENDALIAN KECEPATAN MOTOR DC BERBASIS PLC

Industrial processes which involve DC motors require the variation of the rotational speed precision, despite the presence of load variations and disturbances. Therefore, this study designed some DC motor speed control systems using PID and adaptive control based on PLC. Control algorithm is impleme...

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Bibliographic Details
Main Authors: , ARDIAN UMAM, , Adha Imam Cahyadi, S.T. ,M.Eng. ,D.Eng.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/129631/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=70025
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Institution: Universitas Gadjah Mada
Description
Summary:Industrial processes which involve DC motors require the variation of the rotational speed precision, despite the presence of load variations and disturbances. Therefore, this study designed some DC motor speed control systems using PID and adaptive control based on PLC. Control algorithm is implemented to TSX 3722 PLC and programmed in structured text language using PL7 Pro software. PID used Ziegler-Nichols Ultimate Cycle Method and Quarter Decay Method to tune the parameters. While, adaptive control used Model Reference Adaptive Control (MRAC) with one unknown parameter. PID control and adaptive systems are examined with step inputs in conditions with and without step load. The parameters that used to measure the performance of systems response are settling time, rise time, %OS (Overshoot), IAE (Integral of Absolute Error) and steady state error. In no-load condition, PID with Quarter Decay Method showed the best response performance, with the smallest value of settling time at 1.45s, smallest IAE at 329.95 and a relatively small of %OS at 3.903%. Meanwhile, adaptive control is superior by not giving %OS above 2%. Given step load, PID control is faster than adaptive control to return to the set point value and has smaller value of IAE compared to the adaptive control .