Agricultural and Biosystems Engineering Publications

Campus Units

Agricultural and Biosystems Engineering, Mechanical Engineering, Human Computer Interaction

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

6-2021

Journal or Book Title

Journal of Dynamic Systems, Measurement, and Control

Volume

143

Issue

6

First Page

061006

Research Focus Area(s)

Advanced Machinery Engineering and Manufacturing Systems

DOI

10.1115/1.4049556

Abstract

Hydraulic pressure ripple in a pump, as a result of converting rotational power to fluid power, continues to be a problem faced when developing hydraulic systems due to the resulting noise generated. In this paper, we present simulation results from leveraging an actor-critic reinforcement learning method as the control method for active noise control in a hydraulic system. The results demonstrate greater than 96%, 81%, and 61% pressure ripple reduction for the first, second, and third harmonics, respectively, in a single operating point test, along with the advantage of feed forward like control for high bandwidth response during dynamic changes in the operating point. It also demonstrates the disadvantage of long convergence times while the controller is effectively learning the optimal control policy. Additionally, this work demonstrates the ancillary benefit of the elimination of the injection of white noise for the purpose of system identification in the current state of the art.

Comments

This is a manuscript of an article published as Anderson, Eric R., and Brian L. Steward. "Reinforcement Learning for Active Noise Control in a Hydraulic System." Journal of Dynamic Systems, Measurement, and Control 143, no. 6 (2021): 061006. DOI: 10.1115/1.4049556. Posted with permission.

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Embargoed

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright Owner

ASME

Language

en

File Format

application/pdf

Available for download on Tuesday, February 01, 2022

Published Version

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