Paper Details: Downloads: 1242
Serial Number: P1111410320
Title: Robustness Analysis of Linear Time-Invariant Dynamic State Observers
Authors: Simon O. Omekanda and Todd Perkins and Mohamed A. Zohdy
Abstract: In this paper, we investigate the effect of state and measurement variations on linear time-invariant state (LTI) observers’ performance robustness and error dynamics. These observers are widely used in control engineering, and, more recently, modern automotive powertrain applications. They have a proven and well documented degree of reliability and efficiency in the approximation of systems’ states. When well designed, they exhibit negligible steady state errors. In this study, we apply observer theory to an internal combustion engine (ICE) model. We also investigated state and sensor measurement disturbances that occur during common operation of the system. An analysis of the change in the observer error dynamics, and subsequent performance robustness is presented.
Keywords: Linear observers; Control theory; Internal combustion engines modeling; State disturbance; Sensor disturbance; Estimation methods.
Journal/Conference: International Journal of Automatic Control and System Engineering
Volume: 14
Issue: 2
Submission Date: 3/2/2014 12:00:00 AM
Review Date: 3/10/2014 12:00:00 AM
Publishing Date: 4/14/2014 12:00:00 AM
Article Downloads: 1242
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