scholarly journals High-Gain Nonlinear Observer With Lower Tuning Parameter

2019 ◽  
Vol 64 (8) ◽  
pp. 3194-3209 ◽  
Author(s):  
Ali Zemouche ◽  
Fan Zhang ◽  
Frederic Mazenc ◽  
Rajesh Rajamani
Keyword(s):  
High Gain ◽  
Nonlinear Observer ◽  
Tuning Parameter

Average Modeling and Nonlinear Observer Design For Pneumatic Actuators With On/Off Solenoid Valves

2021 ◽  
Author(s):  
Khaled Laib ◽  
Minh Tu Pham ◽  
Xuefang LIN-SHI ◽  
Redha Meghnous
Keyword(s):  
Closed Loop ◽  
Sliding Mode ◽  
High Gain ◽  
Observer Design ◽  
Nonlinear Observer ◽  
State Model ◽  
Pressure Measurements ◽  
Pneumatic Actuators ◽  
Nonlinear Observers ◽  
Piston Position

Abstract This paper presents an averaged state model and the design of nonlinear observers for an on/off pneumatic actuator. The actuator is composed of two chambers and four on/off solenoid valves. The elaborated averaged state model has the advantage of using only one continuous input instead of four binary inputs. Based on this new model, a high gain observer and a sliding mode observer are designed using the piston position and the pressure measurements in one of the chambers. Finally, their closed-loop performances are verified and compared on an experimental benchmark.

scholarly journals Unknown Inputs Nonlinear Observer for an Activated Sludge Process

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Feten Smida ◽  
Taoufik Ladhari ◽  
Salim Hadj Saïd ◽  
Faouzi M’sahli
Keyword(s):  
Activated Sludge ◽  
High Gain ◽  
The Other ◽  
Nonlinear Observer ◽  
Dynamics Simulation ◽  
Activated Sludge Process ◽  
Unknown Inputs ◽  
Simulation Results ◽  
Economic Concentration ◽  
Substrate Concentrations

This paper deals with the jointly estimation problem of unknown inputs and nonmeasured states of one altering aerated activated sludge process (ASP). In order to provide accurate and economic concentration measures during aerobic and anoxic phases, a cascade high gain observer (HGO) approach is developed. Only two concentrations are available; the other process’s states are assumed unavailable. The observer converges asymptotically and it leads to a good estimation of the unavailable states which are the ammonia and substrate concentration, as well as a quite reconstruction of the unknown inputs, which are the influent ammonia and the influent substrate concentrations. To highlight the efficiency of the proposed HGO with this MIMO system’s dynamics, simulation results are validated with experimental data.

scholarly journals A Fractional High-Gain Nonlinear Observer Design—Application for Rivers Environmental Monitoring Model

2020 ◽  
Vol 25 (3) ◽  
pp. 44
Author(s):  
Abraham Efraim Rodriguez-Mata ◽  
Yaneth Bustos-Terrones ◽  
Victor Gonzalez-Huitrón ◽  
Pablo Antonio Lopéz-Peréz ◽  
Omar Hernández-González ◽  
...  
Keyword(s):  
Fractional Order ◽  
Oxygen Demand ◽  
Environmental Water ◽  
High Gain ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Distribution Models ◽  
Luenberger Observer ◽  
Monitoring Model ◽  
Numerical Studies

The deterioration of current environmental water sources has led to the need to find ways to monitor water quality conditions. In this paper, we propose the use of Streeter–Phelps contaminant distribution models and state estimation techniques (observer) to be able to estimate variables that are very difficult to measure in rivers with online sensors, such as Biochemical Oxygen Demand (BOD). We propose the design of a novel Fractional Order High Gain Observer (FOHO) and consider the use of Lyapunov convergence functions to demonstrate stability, as it is compared to classical extended Luenberger Observer published in the literature, to study the convergence in BOD estimation in rivers. The proposed methodology was used to estimated Dissolved oxygen (DO) and BOD monitoring of River Culiacan, Sinaloa, Mexico. The use of fractional order in high-gain observers has a very effective effect on BOD estimation performance, as shown by our numerical studies. The theoretical results have shown that robust observer design can help solve problems in estimating complex variables.

Prescribed-Time High-Gain Nonlinear Observer Design for Triangular Systems

2021 ◽  
Author(s):  
Ania Adil ◽  
Ibrahima N'Doye ◽  
Abdelghani Hamaz ◽  
Ali Zemouche ◽  
Taous-Meriem Laleg-Kirati
Keyword(s):  
High Gain ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Triangular Systems

scholarly journals A high-gain-based global finite-time nonlinear observer

2013 ◽  
Vol 86 (5) ◽  
pp. 759-767 ◽  
Author(s):  
Yunyan Li ◽  
Xiaohua Xia ◽  
Yanjun Shen
Keyword(s):  
Finite Time ◽  
High Gain ◽  
Nonlinear Observer

scholarly journals A High-Gain Nonlinear Observer With Limited Gain Power

2015 ◽  
Vol 60 (11) ◽  
pp. 3059-3064 ◽  
Author(s):  
Daniele Astolfi ◽  
Lorenzo Marconi
Keyword(s):  
High Gain ◽  
Nonlinear Observer

scholarly journals Discontinuous High-Gain Observer in a Robust Control UAV Quadrotor: Real-Time Application for Watershed Monitoring

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
A. E. Rodríguez-Mata ◽  
G. Flores ◽  
A. H. Martínez-Vásquez ◽  
Z. D. Mora-Felix ◽  
R. Castro-Linares ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Lyapunov Stability Theory ◽  
High Gain ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Attitude Dynamics ◽  
Parameter Uncertainties ◽  
External Disturbances ◽  
High Gain Observer ◽  
Digital Elevation

A control algorithm that is robust with respect to wind disturbances for a quadrotor UAV attitude dynamics is presented. The proposed approach consists of a high-gain observer based on a discontinuous technique. Such an algorithm is embedded on board the quadrotor. The high-gain observer estimates external disturbances such as wind and parameter uncertainties, and a control algorithm is designed to compensate these undesired effects. The observer design is based on Lyapunov stability theory; simulation results and experiments validate the nonlinear observer performance and robustness of the approach under windy conditions. Also, a photogrammetry survey was carried out to develop Digital Elevation Models in order to experimentally demonstrate the effectiveness of our approach. The accuracy of such models was compared and the performance improvement is demonstrated.

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