Published June 2018 | Version v1
Journal article

Sensorless Reaction Force Estimation of the End Effector of a Dual-arm Robot Manipulator Using Sliding Mode Control with a Sliding Perturbation Observer

  • 1. Pusan National University, Department of Mechanical Engineering (Korea, Republic of)

Description

We estimated the reaction force for assembly work with a three-link dual-arm robot manipulator using sliding mode control with a sliding perturbation observer (SMCSPO) without using a force sensor. The sliding perturbation observer (SPO) is used to estimate the reaction force of the end effector without using any sensor. The SPO estimates the perturbation, which consists of the parameter uncertainties, nonlinear terms, and disturbances such as the reaction force. During assembly, the most effective perturbation term is close to the reaction force, so we assumed that the estimated perturbation is the same as the reaction force. The estimated perturbation was compared with the reaction force from the dynamics of the manipulator using a simulation with the SimMechanics toolbox of MATLAB/SIMULINK. The simulation results show the performance of the SMCSPO and that the reaction force can be estimated using the SPO without any sensor. The method can improve the structural reduction of link manipulator robots and decrease costs.

Additional details

Identifiers

Publishing Information

Journal Title
International Journal of Control, Automation and Systems
Journal Volume
16
Journal Issue
3
Journal Page Range
p. 1367-1378
ISSN
1598-6446

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50019691
Subject category
S42: ENGINEERING;
Descriptors DEI
ARMS; COMPARATIVE EVALUATIONS; MANIPULATORS; MODE CONTROL; NONLINEAR PROBLEMS; PERFORMANCE; PERTURBATION THEORY; ROBOTS; SENSORS; SIMULATION
Descriptors DEC
BODY; CONTROL; EQUIPMENT; EVALUATION; LABORATORY EQUIPMENT; LIMBS; MATERIALS HANDLING EQUIPMENT; REMOTE HANDLING EQUIPMENT

Optional Information

Copyright
Copyright (c) 2018 Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature