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Journal ArticleDOI

Modeling and Control of Heavy-Haul Trains [Applications of Control]

Xiaohua Xia, +1 more
- 07 Jul 2011 - 
- Vol. 31, Iss: 4, pp 18-31
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TLDR
In this paper, a unifying classification of energy efficiency in terms of performance, operation, equipment, and technology (POET) is presented and then applied to heavy-haul train control problems.
Abstract
This article aims to provide an overview of the modeling and control of heavy-haul trains from an energy efficiency viewpoint. For this purpose, a unifying classification of energy efficiency in terms of performance, operation, equipment, and technology (POET) is presented and then applied to heavy-haul train control problems. A heavy-haul train is an energy system, and its cruise control can be viewed as an energy-efficiency control under this classification of energy-efficiency components. As shown in this article, heavy-haul train control technologies can be included in POET-based energy-efficiency control for operational performance improvement of a heavy-haul train.

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Minimum cost solution of photovoltaic–diesel–battery hybrid power systems for remote consumers

TL;DR: In this paper, the authors considered the daily energy consumption variations for winter and summer weekdays and weekends in order to compare the corresponding fuel costs and evaluate the operational efficiency of the hybrid system for a 24-h period.
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Optimal scheduled power flow for distributed photovoltaic/wind/diesel generators with battery storage system

TL;DR: In this paper, two control strategies involving continuous and on/off operation of the diesel generator in the solar photovoltaic (PV)-wind-diesel-battery hybrid systems are modelled.
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Robust Adaptive Nonsingular Terminal Sliding Mode Control for Automatic Train Operation

TL;DR: Robust adaptive nonsingular terminal sliding mode (NTSM) control methodologies to solve the position and the velocity tracking control problem of the automatic train operation (ATO) system subject to unknown parameters, model uncertainty, and external disturbances are developed.
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Optimal Operation of Heavy-Haul Trains Equipped With Electronically Controlled Pneumatic Brake Systems Using Model Predictive Control Methodology

TL;DR: An optimal control methodology for heavy-haul trains with the objective to optimize the train's operation in terms of energy consumption, velocity tracking, and operation safety is introduced.
Journal ArticleDOI

Disturbance-Observer-Based Fault Tolerant Control of High-Speed Trains: A Markovian Jump System Model Approach

TL;DR: A novel active fault tolerant composite hierarchical anti-disturbance control strategy based on the disturbance observer is proposed such that the resulting composite system is stochastically stable with position and velocity tracking performance.
References
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Journal ArticleDOI

On an optimal control problem of train operation

TL;DR: This paper examines the operation of a train on a variable grade profile subject to arbitrary speed restrictions to determine a detailed program for traction and brake applications, which minimizes energy consumption in moving the train along a given route for a given time.
Book

Energy-Efficient Train Control

TL;DR: In this paper, two distinct systems have been developed for providing train drivers with advice on energy-efficient driving strategies: Metromiser system for suburban railways is achieving fuel savings in excess of 13% and dramatic improvements in timekeeping.
Journal ArticleDOI

Mixed H2/H∞ cruise controller design for high speed train

TL;DR: In this paper, a cruise controller for two typical traction types of high speed train (HST), the push-pull driving (PPD) type and the distributed driving (DD) type, is designed using a mixed H2.
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