Ground Disturbance Rejection Approach for Mobile Robotic Manipulators with Hydraulic Actuators

Mattia Rigotti-Thompson, Miguel Torres-Torriti, Fernando Auat Cheein, Giancarlo Troni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Reducing material spillage by robotic mining mobile manipulators, such as front-end loaders, is necessary to improve mining operations. To this end, the present work proposes an approach to reduce disturbances on the end-effector induced by the terrain and propagated through the wheels and arm links of the machine. The proposed approach is based on an H control strategy that includes a feedforward action, computed using the pitch rate of the mobile base, and considers the hydraulic arm dynamics, as well as the reaction forces in the contact points of the mobile base, which is modeled as a floating body with non-permanent ground contacts. Alternative control schemes based on the classic proportional-derivative (PD) control, and the Active Disturbance Rejection Control (ADRC), with and without feedforward action, were also implemented and experimentally evaluated using a semiautonomous Cat® 262C compact skid-steer loader equipped with inclination and inertial sensors. The proposed method reduces disturbances by at least 70% when climbing ramps at 25% of the machine's maximum speed, and by at least 20% when driving over speed bumps which produce disturbances similar to that caused by stones. The proposed disturbance attenuation strategy should help reducing the spillage of material when driving over mounds, inclines or spilled rocks, especially considering that even if existing autonomous machines are able to drive with little operator supervision along mining galleries, they are often unable to avoid disturbing material on the ground or the characteristic unevenness of mining terrains.

Original languageEnglish
Title of host publication2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublisherIEEE
Pages5980-5986
Number of pages7
ISBN (Electronic)9781538680940
DOIs
Publication statusPublished - 6 Jan 2019
Event31st IEEE/RSJ International Conference on Intelligent Robots and Systems 2018 - Madrid, Spain
Duration: 1 Oct 20185 Oct 2018
https://www.iros2018.org/

Conference

Conference31st IEEE/RSJ International Conference on Intelligent Robots and Systems 2018
Abbreviated titleIROS 2018
Country/TerritorySpain
CityMadrid
Period1/10/185/10/18
Internet address

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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