Empirical Modeling of a Hydraulic Actuator in a Vehicle Control System
| Autor: | Young Man Cho, Jin-Oh Hahn, Jae-Woong Hur, Kyo Ii Lee |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Engineering
Observer (quantum physics) Nonlinear system identification business.industry Applied Mathematics media_common.quotation_subject Empirical modelling Fidelity Control engineering Fault (power engineering) Physics::Geophysics Computer Science Applications Computer Science::Robotics Hydraulic cylinder Control and Systems Engineering Control theory Modeling and Simulation Key (cryptography) business Software media_common |
| Zdroj: | Mathematical and Computer Modelling of Dynamical Systems. 9:193-208 |
| ISSN: | 1387-3954 |
| DOI: | 10.1076/mcmd.9.2.193.16519 |
| Popis: | The pressure information of a hydraulic actuator plays a key role in modern vehicle control and fault diagnosis. The difficulty in measuring pressure directly naturally motivates such an indirect approach as an observer whose accuracy depends heavily upon the availability of a high fidelity model of a hydraulic actuator. Notwithstanding its success in understanding the dynamics of the first principle model of a hydraulic actuator, it is not suited to controller/observer design due to its complexity. This paper presents an alternative to the first principle modeling methodology: an empirical approach to hydraulic actuator modeling. Linear and nonlinear system identification techniques are applied to obtain low-order models of a hydraulic actuator. Experimental results show how the empirical models reproduce the key features of a hydraulic actuator with sufficient accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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