In this paper, a new method of analyzing for the performance loss caused by faults in the systems is presented, and applied to the design of a fault tolerant longitudinal controller for a transit bus. Based on the amount of performance loss measured by a quadratic function, fault impact assessment is developed for both single and multiple faults. More specifically, ellipsoidal approximation of the tracking error bounds via dynamic surface control (DSC) is obtained via convex optimization technique for the nonlinear closed-loop system. Relying on the fault impact to the closed loop system and its isolatability on a fault detection and diagnosis system, the fault classification is proposed to provide a switching logic in the framework of a switched hierarchical structure. Finally, simulation results of the fault tolerant controller and corresponding fault classification are shown for multiple multiplicative faults.
Skip Nav Destination
Article navigation
September 2003
Technical Papers
Fault Tolerant Control and Classification for Longitudinal Vehicle Control
Adam Howell
Adam Howell
Search for other works by this author on:
Bongsob Song
J. Karl Hedrick
Adam Howell
Contributed by the Dynamic Systems, Measurement, and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the ASME Dynamic Systems and Control Division February 7, 2002; final revision March 12, 2003. Associate Editor: Y. Chait.
J. Dyn. Sys., Meas., Control. Sep 2003, 125(3): 320-329 (10 pages)
Published Online: September 18, 2003
Article history
Received:
February 7, 2002
Revised:
March 12, 2003
Online:
September 18, 2003
Citation
Song, B., Hedrick, J. K., and Howell, A. (September 18, 2003). "Fault Tolerant Control and Classification for Longitudinal Vehicle Control ." ASME. J. Dyn. Sys., Meas., Control. September 2003; 125(3): 320–329. https://doi.org/10.1115/1.1592188
Download citation file:
Get Email Alerts
Regret Analysis of Shrinking Horizon Model Predictive Control
J. Dyn. Sys., Meas., Control (March 2025)
Control-Oriented Modeling of a Solid Oxide Fuel Cell Affected by Redox Cycling Using a Novel Deep Learning Approach
J. Dyn. Sys., Meas., Control (March 2025)
Robust Control of Exo-Abs, a Wearable Platform for Ubiquitous Respiratory Assistance
J. Dyn. Sys., Meas., Control (March 2025)
Resilient Self-Triggered Model Predictive Control of Cyber-Physical Systems Under Two-Channel False Data Injection Attacks
J. Dyn. Sys., Meas., Control (March 2025)
Related Articles
Mixed Slip-Deceleration Control in Automotive Braking Systems
J. Dyn. Sys., Meas., Control (January,2007)
Probabilistic Control for Uncertain Systems
J. Dyn. Sys., Meas., Control (March,2012)
Adaptive Continuously Variable Compression Braking Control for Heavy-Duty Vehicles
J. Dyn. Sys., Meas., Control (September,2002)
Robust Piecewise-Linear State Observers for Flexible Link Mechanisms
J. Dyn. Sys., Meas., Control (May,2008)
Related Proceedings Papers
Related Chapters
QP Based Encoder Feedback Control
Robot Manipulator Redundancy Resolution
Fault-Tolerant Control of Sensors and Actuators Applied to Wind Energy Systems
Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
Hydraulic Resistance
Heat Transfer & Hydraulic Resistance at Supercritical Pressures in Power Engineering Applications