Nonlinear Robust Control of Torque Converter Clutch Slip System for Passenger Vehicles Using Advanced Torque Estimation Algorithms

In this paper, a torque-estimation-based robust controller for passenger car torque converter clutch slip system is presented. The proposed robust controller uses only the measurements available from inexpensive sensors that are installed in current passenger vehicles for torque estimation and feedb...

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Bibliographic Details
Published in:Vehicle system dynamics 2002-03, Vol.37 (3), p.175-192
Main Authors: Hahn, Jin-Oh, Lee, Kyo-Il
Format: Article
Language:English
Subjects:
Actuators
Algorithms
Applied sciences
Clutches
Computer science
control theory
systems
Computer simulation
Control theory. Systems
Exact sciences and technology
Feedback control
Ground, air and sea transportation, marine construction
Mechanical engineering. Machine design
Modelling and identification
Neural networks
Robustness (control systems)
Sensors
Torque converters
Transportation
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Summary:In this paper, a torque-estimation-based robust controller for passenger car torque converter clutch slip system is presented. The proposed robust controller uses only the measurements available from inexpensive sensors that are installed in current passenger vehicles for torque estimation and feedback control. A conventional full state observer along with a neural-network-based open-loop hydraulic actuator observer is designed to estimate the unknown driving load, and a neural-network-based turbine torque estimator considering the temperature of oil circulating the torque converter is developed for improved turbine torque estimation accuracy. The stability of the internal dynamics is also investigated, and the performance and robustness of the robust controller is validated by simulation studies.
ISSN:0042-3114
1744-5159
DOI:10.1076/vesd.37.3.175.3531