A multi-agent evolution algorithm used for input shaping of a repetitive non-linear dynamic system

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

This paper explores the challenges regarding designing a heuristic control algorithm for a dynamic non-linear system with multiple inputs and outputs. The presented algorithm aims to shape the voltage input (both magnitude and timing) applied to fast switching valves in a Digital Displacement® unit. This consists of multiple sub-systems, where optimal decisions must be made, based on the system design and performance criteria. In this regard good performance are defined as: low electrical energy required for switching, accurate switching timing and low plunger velocity near the seat. The proposed algorithm examines the design-space in a user-defined manner combined with stochastic decision making. The randomness of the algorithm is based on the standard deviation between located elite designs. This reveals several feasible input sequences to achieve the goal, and the optimums are benchmarked with a differential evolution algorithm. The techniques are demonstrated by simulation and the results compared showing similar performance of the optimums.
Original languageEnglish
Title of host publicationProceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control
Number of pages10
PublisherAmerican Society of Mechanical Engineers
Publication dateSep 2018
Pages1-10
Article numberFPMC2018-8870
ISBN (Electronic)978-0-7918-5196-8
DOIs
Publication statusPublished - Sep 2018
EventBATH/ASME 2018 Symposium on Fluid Power and Motion Control - Bath, United Kingdom
Duration: 12 Sep 201814 Sep 2018

Conference

ConferenceBATH/ASME 2018 Symposium on Fluid Power and Motion Control
CountryUnited Kingdom
CityBath
Period12/09/201814/09/2018

Fingerprint

Dynamical systems
Optimal systems
Seats
Nonlinear systems
Decision making
Systems analysis
Electric potential

Keywords

  • Control of digital hydraulics
  • Digital Displacement
  • Evolution algorithms
  • Heuristic control

Cite this

Bender, N. C., Pedersen, H. C., Bech, M. M., & Andersen, T. O. (2018). A multi-agent evolution algorithm used for input shaping of a repetitive non-linear dynamic system. In Proceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control (pp. 1-10). [FPMC2018-8870] American Society of Mechanical Engineers. https://doi.org/10.1115/FPMC2018-8870
Bender, Niels Christian ; Pedersen, Henrik Clemmensen ; Bech, Michael Møller ; Andersen, Torben O. / A multi-agent evolution algorithm used for input shaping of a repetitive non-linear dynamic system. Proceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2018. pp. 1-10
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Bender, NC, Pedersen, HC, Bech, MM & Andersen, TO 2018, A multi-agent evolution algorithm used for input shaping of a repetitive non-linear dynamic system. in Proceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control., FPMC2018-8870, American Society of Mechanical Engineers, pp. 1-10, BATH/ASME 2018 Symposium on Fluid Power and Motion Control, Bath, United Kingdom, 12/09/2018. https://doi.org/10.1115/FPMC2018-8870

A multi-agent evolution algorithm used for input shaping of a repetitive non-linear dynamic system. / Bender, Niels Christian; Pedersen, Henrik Clemmensen; Bech, Michael Møller; Andersen, Torben O.

Proceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2018. p. 1-10 FPMC2018-8870.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Bender NC, Pedersen HC, Bech MM, Andersen TO. A multi-agent evolution algorithm used for input shaping of a repetitive non-linear dynamic system. In Proceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers. 2018. p. 1-10. FPMC2018-8870 https://doi.org/10.1115/FPMC2018-8870