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Tracking Position Control of Electrohydraulic System with Minimum Number of Sensors
Author(s) -
Lilia Sidhom,
Mohamed Smaoui,
Xavier Brun
Publication year - 2016
Publication title -
studies in informatics and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.321
H-Index - 22
eISSN - 1841-429X
pISSN - 1220-1766
DOI - 10.24846/v25i4y201609
Subject(s) - computer science , tracking (education) , position (finance) , control (management) , position tracking , tracking system , control theory (sociology) , real time computing , artificial intelligence , kalman filter , actuator , psychology , pedagogy , finance , economics
In general, feedback controllers require measurements of velocity and acceleration for feedback. To avoid the complexity of overall system with minimizing the sensor number implements on a test bench, a new estimation algorithm of the successive derivatives of measured signal is proposed. The differentiator design is a very difficult task because the important problem in real time differentiation signal is to combine differentiation exactness with robustness in respect of measurements errors and input noises. For this target, a higher order sliding modes differentiator with dynamic gains is proposed. The experimental validation highlights the performances of the differentiator/controller design of a high dynamic electrohydraulic servo-system. For this validation, two controllers are implemented on the test bench for position tracking objective. Moreover, two kinds of differentiators are also tested: the proposed one and some classic algorithm.

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