Kalman filter-based disturbance observer and its applications to sensorless force control

Chowarit Mitsantisuk, Kiyoshi Ohishi, Shiro Urushihara, Seiichiro Katsura

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Force estimation plays a very important role in many application areas. The disturbance observer is significantly becoming the preferred approach since it offers distinct advantages of improving the robustness of force control and the accuracy of force estimation. However, one of the main disadvantages is the limitation from white Gaussian noise. This paper proposes an improved design methodology for the disturbance observer. The main contribution of the work described in this paper is the design of disturbance observers combined with a Kalman filter with a multisensor system. From the experimental results, white Gaussian noise was reduced and fast response in contact motion was achieved. The effectiveness of the proposed disturbance observer has been confirmed through comparisons with conventional methods in 1-d.o.f. linear motor systems.

Original languageEnglish
Pages (from-to)335-353
Number of pages19
JournalAdvanced Robotics
Volume25
Issue number3
DOIs
Publication statusPublished - 2011 Feb 1

Fingerprint

Force control
Kalman filters
Sensor data fusion
Linear motors

Keywords

  • acceleration sensor
  • Disturbance observer
  • Kalman filter
  • linear encoder
  • multisensor sys, em
  • positionacceleration integrated disturbance observer

ASJC Scopus subject areas

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

Cite this

Kalman filter-based disturbance observer and its applications to sensorless force control. / Mitsantisuk, Chowarit; Ohishi, Kiyoshi; Urushihara, Shiro; Katsura, Seiichiro.

In: Advanced Robotics, Vol. 25, No. 3, 01.02.2011, p. 335-353.

Research output: Contribution to journalArticle

Mitsantisuk, Chowarit ; Ohishi, Kiyoshi ; Urushihara, Shiro ; Katsura, Seiichiro. / Kalman filter-based disturbance observer and its applications to sensorless force control. In: Advanced Robotics. 2011 ; Vol. 25, No. 3. pp. 335-353.
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