New discretization-formula-based zeroing dynamics for real-time tracking control of serial and parallel manipulators

Jian Li, Yunong Zhang, Shuai Li, Mingzhi Mao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

25 Citations (Scopus)

Abstract

Improvement of the real-time performance of tracking control is increasingly desirable. It is a routine for most conventional algorithms that the control input at current time instant is to track the current desired output. However, lagging errors resulting from computational time and the fluctuation of the desired output exist for the tracking control. Different from conventional algorithms, a look-ahead scheme of zeroing dynamics (ZD) is established in this paper to achieve the real-time tracking control of both serial and parallel manipulators. With the exploitation of data at current time and that in history, the control inputs generated by the proposed ZD algorithms never lead to lagging errors with the source from the inevitable computational time. To tackle prediction errors for ZD algorithms, a new high-precision discretization formula, as an essential part of ZD algorithms, is presented to confine the prediction error in an ignorable range in comparison with lagging errors.

Original languageEnglish
Article number8169084
Pages (from-to)3416-3425
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number8
DOIs
Publication statusPublished - 1 Aug 2018

Keywords

  • Discretization formula
  • parallel manipulators
  • real-time tracking control
  • serial manipulators
  • zeroing dynamics (ZD)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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