Reference Model Augmentation and Parallel Feedforward Design for Simple Adaptive Control

Yonattan Menaker, Sergei Basovich, Shai Arogeti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, Simple Adaptive Control (SAC) is applied to a Single Degree of Freedom (SDOF) Active Magnetic Bearing (AMB) testbed. The plant on which SAC is applied is required to be Almost Strictly Positive Real (ASPR). Therefore, Parallel Feedforward Configuration (PFC) design proves to be the most important step in the algorithm implementation. Here, PFC design guidelines, based on classical SISO tools (bode plots and step response), are proposed and validated experimentally. Additionally, a slowly varying, unknown disturbance rejection method is suggested within the framework of the SAC algorithm. The proposed method is also validated experimentally, on a SDOF AMB testbed.

Original languageEnglish
Title of host publication7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-87
Number of pages6
ISBN (Electronic)9781728159539
DOIs
StatePublished - 29 Jun 2020
Event7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 - Prague, Czech Republic
Duration: 29 Jun 20202 Jul 2020

Publication series

Name7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

Conference

Conference7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
Country/TerritoryCzech Republic
CityPrague
Period29/06/202/07/20

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Control and Optimization
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Reference Model Augmentation and Parallel Feedforward Design for Simple Adaptive Control'. Together they form a unique fingerprint.

Cite this