MPC-based FTC with FDD against actuator faults of UAVs

Bin Yu, Youmin Zhang, Yaohong Qu

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

23 Scopus citations

Abstract

The increasing development of unmanned aerial vehicles (UAVs) and the requirements of high autonomy and safety levels require that the controller of UAVs should possess fault-tolerant/reconfigurable function to accommodate unpredicted situations such as actuator faults, sensor faults, or aircraft damage. This paper addresses the partial loss of control effectiveness (LOE) of actuators in a quadrotor UAV using model predictive control (MPC) with terminal constraints, which allows to track a reference command even if in the presence of actuator faults. The proposed fault-tolerant control system (FTCS) adopts MPC technique to design fault-tolerant controller and state-augmented Kalman filter (SAKF) to achieve fault detection and diagnosis (FDD) function. Simulation results based on a quadrotor UAV demonstrate that the proposed fault-tolerant controller has a good performance in accommodating actuator faults.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages225-230
Number of pages6
ISBN (Electronic)9788993215090
DOIs
StatePublished - 23 Dec 2015
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 13 Oct 201516 Oct 2015

Publication series

NameICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings

Conference

Conference15th International Conference on Control, Automation and Systems, ICCAS 2015
Country/TerritoryKorea, Republic of
CityBusan
Period13/10/1516/10/15

Keywords

  • Fault Detection and Diagnosis
  • Fault-tolerant Control
  • Model Predictive Control
  • SAKF
  • UAV

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