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Re-definition of the robot motion control problem: Effects of plant dynamics, drive system constraints, and user requirements

Sweet, Larry, Good, Malcolm·1984·The 23rd IEEE Conference on Decision and Control

Abstract

The objective of this paper is a redefinition of the robot control problem, based on realistic (1) models for the industrial robot as a controlled plant, (2) end effector trajectories consistent with manufacturing applications, and (3) the need for end-effector sensing to compensate for uncertainties inherent to most robotic manufacturing applications. Based on extensive analytical and experimental studies, realistic robot dynamic models are presented that have been validated over the frequency range 0 to 50 Hz. These models exhibit a strong influence of drive system flexibility, producing lightly damped poles in the neighborhood of 8 Hz, 14 Hz, and 40 Hz, all unmodeled by the conventional rigid body multiple link robot dynamic approach. The models presented also quantify the significance of nonlinearities in the drive system, in addition to those well-known in the linkage itself. Realistic simulations of robot dynamics and motion controls demonstrate that existing controls coupled with effective path planning produce dynamic path errors that are acceptable for most manufacturing applications. Major benefits are projected, with examples cited, for use of end-effector sensors for position, force, and process control that compensate for uncertainties encountered on the factory floor.

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Metadata

Authors
Sweet, L., & Good, M.
Venue
The 23rd IEEE Conference on Decision and Control
Publisher
IEEE
Published
1984-12
Pages
724-732
OpenAlex
W2124742444
Cited by
185
References
0
FWCI
8.44
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Re-definition of the robot motion control problem: Effects of plant dynamics, drive system constraints, and user requirements. https://app.cochat.ai/papers/10.1109/cdc.1984.272105
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Sweet, L., & Good, M. (1984). Re-definition of the robot motion control problem: Effects of plant dynamics, drive system constraints, and user requirements. The 23rd IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.1984.272105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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