Design of robust stabilization and fault diagnosis for an auto-balancing two-wheeled cart

Jia Sheng Hu, Mi Ching Tsai

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This paper investigates robust fault diagnosis strategies for the auto-balancing of an ergonomically designed two-wheeled cart which is inherently unstable and has a non-minimum phase. To endow the rider with robust stabilization, the normalized coprime factorization for steering is employed for allowing maximum model uncertainties and the driving orientation is achieved with an electronic differential steering control. A model-based fault-detection filter is designed to detect sensor faults. The observer gain obtained by solving an algebraic Riccati equation in the normalized coprime factorization approach offers some design convenience associated with the fault diagnosis filter. In order to promptly alert the rider for safety purposes in the event of a malfunction, the decision-making process to identify a critical failure is also investigated. Finally, evaluation examples are given to illustrate the performance of the proposed robust fault diagnosis strategies.

Original languageEnglish
Pages (from-to)319-338
Number of pages20
JournalAdvanced Robotics
Volume22
Issue number2-3
DOIs
Publication statusPublished - 2008 Mar 1

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications

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