Philip G. Howlett, Peter J. Pudney

Energy-Efficient Train Control

• Broschiertes Buch

Produktbeschreibung

Rail is potentially a very efficient form of transport, but must be convenient, reliable and cost-effective to compete with road and air transport. Optimal control can be used to find energy-efficient driving strategies for trains. This book describes the train control problem and shows how a solution was found at the University of South Australia. This research was used to develop the Metromiser system, which provides energy-efficient driving advice on suburban trains. Since then, this work has been modified to find practical driving strategies for long-haul trains. The authors describe the history of the problem, reviewing the basic mathematical analysis and relevant techniques of constrained optimisation. They outline the modelling and solution of the problem and finally explain how the fuel consumption can be minimised for a journey, showing the effect of speed limits and track gradients on the optimal driving strategy.

Produktdetails

• Advances in Industrial Control
• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4471-3086-4
• Softcover reprint of the original 1st ed. 1995
• Seitenzahl: 332
• Erscheinungstermin: 7. Dezember 2011
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 505g
• ISBN-13: 9781447130864
• ISBN-10: 1447130863
• Artikelnr.: 39499655

Inhaltsangabe

Section A: Introduction.- 1 The Train Control Problem.- 2 Modelling the Train Control Problem.- 3 Practical Driving Strategies.- 4 Constrained Optimisation-An Intuitive View.- Section B: Analysis of the Mechanical Energy Model.- 5 Existence of an Optimal Strategy.- 6 Necessary Conditions for an Optimal Strategy.- 7 Determination of Optimal Driving Strategies.- Section C: Analysis of the Fuel Consumption Model.- 8 Critical Speeds and Strategies of Optimal Type.- 9 Minimisation of Fuel Consumption.- 10 A More General Model.- 11 Speed Limits.- 12 Non-Constant Gradient.- 13 Continuously Varying Gradient.- 14 Practical Strategy Optimisation.- References.