Intelligent Control of Ultrasonic Motor Using PID Control Combined with Artificial Bee Colony Type Neural Networks

Shenglin Mu, Satoru Shibata, Tomonori Yamamoto, Shota Nakashima, Kanya Tanaka

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

Abstract

In this research, to obtain satisfactory control performance of ultrasonic motor (USM) in position control, a hybrid intelligent method based on PID control using neural networks (NNs) combined with Artificial Bee Colony (ABC) algorithm is proposed. Using the proposed intelligent control method, the gains of PID control are auto-tuned to minimize the errors in position control. The proposed method is with simple structure and easy to be implemented in estimation. It is designed to compensate the nonlinearity and characteristic changes in position control. The proposed hybridization of NN and ABC makes the intelligent scheme superior in usefulness and effectiveness. In this paper, the control performance and effectiveness of the proposed method were confirmed and studied according to experimental results on an existing USM servo system.

Original languageEnglish
Title of host publication3rd EAI International Conference on Robotic Sensor Networks, ROSENET 2019
EditorsYujie Li, Huimin Lu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages71-80
Number of pages10
ISBN (Print)9783030460310
DOIs
Publication statusPublished - 2021
Event3rd EAI International Conference on Robotic Sensor Networks, ROSENET 2019 - Kitakyushu, Japan
Duration: 17 Aug 202017 Aug 2020

Publication series

NameEAI/Springer Innovations in Communication and Computing
ISSN (Print)2522-8595
ISSN (Electronic)2522-8609

Conference

Conference3rd EAI International Conference on Robotic Sensor Networks, ROSENET 2019
CountryJapan
CityKitakyushu
Period17/08/2017/08/20

Keywords

  • Artificial Bee Colony
  • Neural network
  • PID control
  • Position control
  • Ultrasonic motor

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