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JRM Vol.24 No.1 pp. 95-104
doi: 10.20965/jrm.2012.p0095
(2012)

Paper:

Identification of Dominant Error Force Component in Hydraulic Pressure Reading for External Force Detection in Construction Manipulator

Mitsuhiro Kamezaki*, Hiroyasu Iwata**,
and Shigeki Sugano***

*Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 17 Kikui-cho, Shinjuku-ku, Tokyo 162-0044, Japan

**Waseda Institute for Advanced Study (WIAS), Waseda University, 1-6-1 Nishi Waseda, Shinjuku-ku, Tokyo 169-8050, Japan

***Department of Modern Mechanical Engineering, School of Creative Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan

Received:
April 30, 2011
Accepted:
August 16, 2011
Published:
February 20, 2012
Keywords:
construction machinery, external force detection, hydraulic sensor, error force identification
Abstract

The purpose of this paper is to develop a fundamental external-force-detection framework for construction manipulators. Such an industrial application demands the practicality that satisfies detection requirements such as the accuracy and robustness while ensuring (i) a low cost, (ii) wide applicability, and (iii) a simple detection algorithm. For satisfying (i) and (ii), our framework first adopts a hydraulic sensor as a force sensor. However, hydraulic-pressure readings essentially include error force components. These components depend strongly on the joint kinetic state and differ in the identification difficulty owing to a nonlinear and uncertain hydromechanical system. For satisfying (ii) and (iii), our framework thus focuses on the dominant error-force components classified by the control input states, such as self-weight, cylinder driving, and oscillating forces, and identifies and removes them by using a theoreticalmodel, an experimental estimation, and a waveform analysis without complex modeling, respectively. Experiments were conducted using an instrumented hydraulic arm system. The results of a no-load task indicate that our framework greatly lowers the threshold to determine the on-off state of external force application, independent of the joint kinetic states. The results of an on-load task confirm that our framework robustly identifies the off states in which an external force is not applied to the hydraulic cylinder.

Cite this article as:
Mitsuhiro Kamezaki, Hiroyasu Iwata, and
and Shigeki Sugano, “Identification of Dominant Error Force Component in Hydraulic Pressure Reading for External Force Detection in Construction Manipulator,” J. Robot. Mechatron., Vol.24, No.1, pp. 95-104, 2012.
Data files:
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