The energy efficiency of rail transit systems using regenerative braking is enhanced by flywheel storage elements used to store energy not accepted by the wayside power rail. In this paper three storage system control concepts are examined: armature and field control of on-board flywheels, and field control of a station-based storage device. The energy recovery efficiency and performance characteristics of each system are determined subject to optimal control laws derived to minimize energy loss. The resulting control systems are bilinear, due to the use of separately excited DC traction and flywheel motors as continuously variable transmissions. The three systems yield similar energy recovery efficiencies for deceleration, with the advantages of each for practical applications discussed.
Skip Nav Destination
Article navigation
December 1978
Research Papers
Optimal Control of On-Board and Station Flywheel Storage for Rail Transit Systems
L. M. Sweet,
L. M. Sweet
Transportation Program, Mechanical and Aerospace Engineering, Princeton University, Princeton, N.J. 08540
Search for other works by this author on:
M. J. Keane
M. J. Keane
Mechanical and Aerospace Engineering, Princeton University, Princeton, N.J. 08540
Search for other works by this author on:
L. M. Sweet
Transportation Program, Mechanical and Aerospace Engineering, Princeton University, Princeton, N.J. 08540
M. J. Keane
Mechanical and Aerospace Engineering, Princeton University, Princeton, N.J. 08540
J. Dyn. Sys., Meas., Control. Dec 1978, 100(4): 284-290 (7 pages)
Published Online: December 1, 1978
Article history
Received:
October 18, 1978
Online:
July 13, 2010
Citation
Sweet, L. M., and Keane, M. J. (December 1, 1978). "Optimal Control of On-Board and Station Flywheel Storage for Rail Transit Systems." ASME. J. Dyn. Sys., Meas., Control. December 1978; 100(4): 284–290. https://doi.org/10.1115/1.3426379
Download citation file:
11
Views
Get Email Alerts
Cited By
Vibration Suppression Based on Improved Adaptive Optimal Arbitrary-Time-Delay Input Shaping
J. Dyn. Sys., Meas., Control (May 2025)
Robust Fault Detection for Unmanned Aerial Vehicles Subject to Denial-of-Service Attacks
J. Dyn. Sys., Meas., Control
Vibration Suppression and Trajectory Tracking with Nonlinear Model Predictive Control for UAM Aircraft
J. Dyn. Sys., Meas., Control
Learning battery model parameter dynamics from data with recursive Gaussian process regression
J. Dyn. Sys., Meas., Control
Related Articles
Optimal Control of Flywheel Hybrid Transmissions
J. Dyn. Sys., Meas., Control (March,1978)
The LETHE™ Gas Turbine Hybrid Prototype Vehicle of the University of Roma 1: Drive Cycle Analysis of Model Vehicle Management Unit
J. Energy Resour. Technol (June,2007)
Control System for a 373 kW, Intercooled, Two-Spool Gas Turbine Engine Powering a Hybrid Electric World Sports Car Class Vehicle
J. Eng. Gas Turbines Power (January,1998)
Design and Simulation of Pressure Coordinated Control System for Hybrid Vehicle Regenerative Braking System
J. Dyn. Sys., Meas., Control (September,2014)
Related Proceedings Papers
Related Chapters
Hydro Tasmania — King Island Case Study
Hydro, Wave and Tidal Energy Applications
QP Based Encoder Feedback Control
Robot Manipulator Redundancy Resolution
Application of a Variable-Universe and Self-Adaptive Fuzzy PID Controller in DC Motor Speed Control System
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)