High gain and sliding mode observers for the control of an electropneumatic actuator

2006 ◽  
Author(s):  
A. Girin ◽  
F. Plestan ◽  
X. Brun ◽  
A. Glumineau ◽  
M. Smaoui
Keyword(s):  
Sliding Mode ◽  
High Gain ◽  
Sliding Mode Observers

Sliding-mode observers for systems with unknown inputs: A high-gain approach

Automatica ◽  
2010 ◽  
Vol 46 (2) ◽  
pp. 347-353 ◽  
Author(s):  
Karanjit Kalsi ◽  
Jianming Lian ◽  
Stefen Hui ◽  
Stanislaw H. Żak
Keyword(s):  
Sliding Mode ◽  
High Gain ◽  
Unknown Inputs ◽  
Sliding Mode Observers

High gain and sliding mode observers for the control of an electropneumatic actuator

2006 ◽  
Author(s):  
A. Girin ◽  
F. Plestan ◽  
X. Brun ◽  
A. Glumineau ◽  
M. Smaoui
Keyword(s):  
Sliding Mode ◽  
High Gain ◽  
Sliding Mode Observers

scholarly journals Robust High-Gain Observers Based Liquid Levels and Leakage Flow Rate Estimation

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Feten Smida ◽  
Salim Hadj Saïd ◽  
Faouzi M’sahli
Keyword(s):  
Flow Rate ◽  
Sliding Mode ◽  
High Gain ◽  
Perfect Reconstruction ◽  
Leakage Flow ◽  
State Variables ◽  
Leakage Flow Rate ◽  
Tank System ◽  
Sliding Mode Observers ◽  
Estimation Quality

The paper aims to solve the problem of liquid level and leakage flow rate estimations for a state coupled four-tank process, that is why an UIO is developed to simultaneously estimate the unmeasured state variables and the perturbations considered as unknown inputs. We have proposed a state repartition that allows putting the model of the quadruple tank system to the canonical form for which the design of the observer is more easier. The observation scheme that uses a combination of high-gain observers and sliding mode observers allows improving robustness in the state estimation quality and a perfect reconstruction of the disturbance waveforms.

scholarly journals Model-Based Monitoring of Biotechnological Processes—A Review

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 908
Author(s):  
Velislava Lyubenova ◽  
Georgi Kostov ◽  
Rositsa Denkova-Kostova
Keyword(s):  
Sliding Mode ◽  
High Gain ◽  
State Variables ◽  
Applied Model ◽  
Model Based ◽  
Software Sensors ◽  
On Line ◽  
Biotechnological Processes ◽  
Sliding Mode Observers ◽  
And Control

The monitoring of the main variables and parameters of biotechnological processes is of key importance for the research and control of the processes, especially in industrial installations, where there is a limited number of measurements. For this reason, many researchers are focusing their efforts on developing appropriate algorithms (software sensors (SS)) to provide reliable information on unmeasurable variables and parameters, based on the available on-line information. In the literature, a large number of developments related to this topic that concern data-based and model-based sensors are presented. Up-to-date reviews of data-driven SS for biotechnological processes have already been presented in the scientific literature. Hybrid software sensors as a combination between the abovementioned ones are under development. This gives a reason for the article to be focused on a review of model-based software sensors for biotechnological processes. The most applied model-based methods for monitoring the kinetics and state variables of these processes are analyzed and compared. The following software sensors are considered: Kalman filters, methods based on estimators and observers of a deterministic type, probability observers, high-gain observers, sliding mode observers, adaptive observers, etc. The comparison is made in terms of their stability and number of tuning parameters. Particular attention is paid to the approach of the general dynamic model. The main characteristics of the classic variant proposed by D. Dochain are summarized. Results related to the development of this approach are analyzed. A key point is the presentation of new formalizations of kinetics and the design of new algorithms for its estimation in cases of uncertainty. The efficiency and applicability of the considered software sensors are discussed.

FDI Based on High-gain Robust Sliding Mode Observers

2012 ◽  
Vol 38 (12) ◽  
pp. 2005 ◽  
Author(s):  
Jun-Qi YANG ◽  
Fang-Lai ZHU
Keyword(s):  
Sliding Mode ◽  
High Gain ◽  
Sliding Mode Observers
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