Nonlinear robust industrial robot control

Chen-Yuan Kuo, Shay Ping T Wang

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

A new nonlinear robot control scheme is proposed in this paper which is robust against modeling errors and unknown disturbance. The control input consists of a nonlinear part and a linear part. The nonlinear part decouples robot dynamics to obtain a set of equations in terms of each joint’s input and output; the linear part applies robust servomechanism theory to suppress effects of modeling error and unknown disturbance. The nonlinear part can be calculated by using recursive Newton-Euler formulas or parallel processing hardware, and the linear part by dedicated, localized microprocessors. Therefore, this methodology is computationally efficient, and is applicable to general robot configuration. The scheme is applied to control a two-joint, SCARA-type robot. The simulation results demonstrate that this scheme can achieve fast and precise robot motion control under substantial modeling errors.

Original languageEnglish (US)
Pages (from-to)24-30
Number of pages7
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume111
Issue number1
DOIs
StatePublished - Mar 1989

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications

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