A novel genetic programming approach to the design of engine control systems for the voltage stabilisation of hybrid electric vehicle generator outputs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Gladwin:2011:pimed,
  author =       "D. Gladwin and Paul Stewart and Jill Stewart",
  title =        "A novel genetic programming approach to the design of
                 engine control systems for the voltage stabilisation of
                 hybrid electric vehicle generator outputs",
  journal =      "Proceedings of the Institute of Mechanical Engineers
                 Part D - Automobile Engineering",
  year =         "2011",
  volume =       "225",
  number =       "10",
  pages =        "1334--1346",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming, electronic
                 and electrical engineering",
  ISSN =         "0954-4070",
  DOI =          "doi:10.1177/0954407011407414",
  size =         "13 pages",
  publisher =    "Institute of Mechanical Engineers",
  abstract =     "This paper describes a Genetic Programming based
                 automatic design methodology applied to the maintenance
                 of a stable generated electrical output from a
                 series-hybrid vehicle generator set. The generator set
                 comprises a 3-phase AC generator whose output is
                 subsequently rectified to DC.The engine/generator
                 combination receives its control input via an
                 electronically actuated throttle, whose control
                 integration is made more complex due to the significant
                 system time delay. This time delay problem is usually
                 addressed by model predictive design methods, which add
                 computational complexity and rely as a necessity on
                 accurate system and delay models. In order to eliminate
                 this reliance, and achieve stable operation with
                 disturbance rejection, a controller is designed via a
                 Genetic Programming framework implemented directly in
                 Matlab, and particularly, Simulink. the principal
                 objective is to obtain a relatively simple controller
                 for the time-delay system which doesn{'}t rely on
                 computationally expensive structures, yet retains
                 inherent disturbance rejection properties. A
                 methodology is presented to automatically design
                 control systems directly upon the block libraries
                 available in Simulink to automatically evolve robust
                 control structures.",
  bibsource =    "OAI-PMH server at eprints.lincoln.ac.uk",
  oai =          "oai:eprints.lincoln.ac.uk:4352",
  type =         "PeerReviewed",
  URL =          "http://eprints.lincoln.ac.uk/4352/",
  notes =        "http://www.uk.sagepub.com/journals/Journal202018",
}

Genetic Programming entries for Daniel Gladwin Paul Stewart Jill Stewart

Citations