Multi-parametric optimization of a pulse width/phase modulated controller for a high frequency active electro-hydraulic pump system

Yannis Koveos, Anthony Tzes, Demosthenes Tsahalis

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

Abstract

In this article, an adaptive width/phase differential modulated controller is designed for an Active electro-hydraulic Pump (AehP) system. The controller adjusts the duty cycle and relative phase between the incoming and outgoing valve. The adjustment relies on the maximization of a multiparametric cost function which is comprised of the net outflow rate, the energy delivered by the piston to the fluid and the maximum pressure evaluated on the piston surface. The developed model relies on Computational Fluid Dynamics (CFD). Transient CFD analysis shows that the pressure propagation causes the pump performance to be highly dependent to the overall dimensions of the hydraulic system, the fluid's properties and the operating conditions, thus constraining and complicating the controller design process. The controller's adaptation mechanism relies on the cyclic coordinate method, which adjusts each parameter in a periodic manner. Simulation studies are used to investigate the efficiency of the proposed optimization scheme for the adaptive controller with respect to the variation of the fluid properties due to the change of the operating conditions.

Original languageEnglish (US)
Title of host publicationProceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
Pages5335-5340
Number of pages6
StatePublished - 2006
Event45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, United States
Duration: Dec 13 2006Dec 15 2006

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other45th IEEE Conference on Decision and Control 2006, CDC
CountryUnited States
CitySan Diego, CA
Period12/13/0612/15/06

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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