State-dependent parameter model identification for inverse dead-zone control of a hydraulic manipulator

West, Craig and Wilson, Emma Denise and Clairon, Q. and Monk, Stephen David and Montazeri, Allahyar and Taylor, C. James (2018) State-dependent parameter model identification for inverse dead-zone control of a hydraulic manipulator. IFAC-PapersOnLine, 51 (15). pp. 126-131. ISSN 2405-8963

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The robotic platform in this study has dual, seven-function, hydraulically actuated manipulators, which are being used for research into assisted tele-operation for common nuclear decommissioning tasks, such as pipe cutting. The article concerns the identification of state-dependent parameter (SDP) models for joint angle control. Compared to earlier SDP analysis of the same device, the present work proposes a new way of representing the state-dependent gain and parametrises this using novel regret-regression methods. A mechanistic interpretation of this model yields dead-zone and angular velocity saturation coefficients, and facilitates SDP-based control with an inverse dead-zone. This approach integrates the input signal calibration, system identification and nonlinear control system design steps, using a relatively small data-set, allowing for straightforward recalibration when the dynamic characteristics have changed due to age and use, or after the installation of replacement parts.

Item Type:
Journal Article
Journal or Publication Title:
?? identification for controlnonlinear system identificationparameter-varying systems robotic manipulatorsanti-windupapplication of nonlinear analysis and design ??
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Deposited On:
04 May 2018 10:22
Last Modified:
18 Jun 2024 00:24