NDLI: An approach for state observation in dynamical systems based on the twisting algorithm

Content Provider	IEEE Xplore Digital Library
Author	Schmidt, L. Andersen, T.O. Pedersen, H.C.
Copyright Year	2013
Description	Author affiliation: Dept. of Applic. Eng., Bosch Rexroth A/S, Randers, Denmark (Schmidt, L.) \|\| Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark (Andersen, T.O.; Pedersen, H.C.)
Abstract	This paper discusses a novel approach for state estimation in dynamical systems, with the special focus on hydraulic valve-cylinder drives. The proposed observer structure is based on the framework of the so-called twisting algorithm. This algorithm utilizes the sign of the state being the target for the observation, not directly implying its applicability for state observation. However it is shown that in the discrete case this approach may be applied to obtain a real time derivative using an intermediate integral process. Furthermore, different types of gains for the algorithm are suggested and analyzed via Lyapunov arguments, and a special version of the observer is proposed specifically for hydraulic drives utilizing online available plant information. The proposed observer with different observer gains are subjected to simulation studies in order to evaluate the exact properties, and results confirm that the proposed observer structure is easily implemented, produces very limited phase shift and is highly robust toward measurement noise.
Starting Page	1051
Ending Page	1056
File Size	832611
Page Count	6
File Format	PDF
ISBN	9781467355575
e-ISBN	9781467355605
DOI	10.1109/ICMA.2013.6618060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-04
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Observers Hydraulic drives Valves Noise Pistons Algorithm design and analysis Estimation error Electro-Hydraulic Systems Second Order Sliding Modes Nonlinear Observers Sliding Mode Observers
Content Type	Text
Resource Type	Article

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