Adaptive PID controller based on additional error of an inversed-control signal for improved performance of brushless DC motor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The Brushless DC (BLDC) motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. However, the BLDC motor is a multi-variable and non-linear system, so it is difficult to get a satisfying result for BLDC motor using the conventional linear control method like normal PID controller. This paper presents the development and performance analysis of adaptive PID controller Based on Additional Error of an Inversed-Control Signal for Brushless DC motor drives. The adaptive PID controller Based on Additional Error of an Inversed-Control Signal have a parameter adjustment mechanism, better solutions when there are variations in process parameters, learning capabilities and fault tolerance. This paper implements adaptive PID controller Based on Additional Error of an Inversed-Control Signal to solve the problems of non-linearity, parameter variations and load excursions that occur in BLDC motor drive systems. The performance of the traditional PID controller based speed control method is compared with the model reference based speed control for BLDC motor drive system using MATLAB software. Experimental results is presented to prove that the adaptive PID controller Based on Additional Error of an Inversed-Control Signal is capable of speed tracking as well as reduce the effect of parameter variations.

Original languageEnglish
Title of host publicationQiR 2017 - 2017 15th International Conference on Quality in Research (QiR)
Subtitle of host publicationInternational Symposium on Electrical and Computer Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages315-320
Number of pages6
ISBN (Electronic)9781509063970
DOIs
Publication statusPublished - 5 Dec 2017
Event15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017 - Nusa Dua, Bali, Indonesia
Duration: 24 Jul 201727 Jul 2017

Publication series

NameQiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering
Volume2017-December

Conference

Conference15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017
CountryIndonesia
CityNusa Dua, Bali
Period24/07/1727/07/17

Keywords

  • Adaptive PID
  • BLDC
  • Neural Network
  • Single Neuron PID

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