A novel on-line OCID method and its application to input-constrained active fault-tolerant tracker design for unknown nonlinear systems

Jason Sheng Hong Tsai, Tzu Hsien Yu, Te Jen Su, Shu Mei Guo, Leang San Shieh, Jose I. Canelon

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The existing off-line observer/controller identification (OCID) method for linear systems is newly extended in this paper for off-line/on-line identification of known/unknown highly nonlinear systems, and a new input-constrained active fault-tolerant tracker is developed, based on the identified linear models. The advantages of the proposed extended on-line OCID method for linear/nonlinear systems are briefly described as follows: (i) Implement novel servo-control-oriented off-line OCID methods in observer and controller canonical forms for highly nonlinear systems; (ii) Is able to overcome the discontinuity induced by the singular value decomposition (SVD) that should be carried out at each sampling instant; (iii) It directly realises the identified parameters in the observer/controller canonical forms; this simplifies the identification process; (iv) Can be practically implemented for the on-line control of an unknown nonlinear system which was constituted by an unknown open-loop plant, an existing but unknown controller and/or an unknown observer; and (v) Can be utilised to develop a new active fault-tolerant controller to compensate the immovable existing controller of the practical operating system. Finally, the servo-control-oriented off-line OCID method for the highly nonlinear PUMA 560 manipulator is shown in the illustrative examples to demonstrate the superiority of the proposed method.

Original languageEnglish
Pages (from-to)2632-2662
Number of pages31
JournalInternational Journal of Systems Science
Volume50
Issue number14
DOIs
Publication statusPublished - 2019 Oct 26

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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