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

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.

Finite-Time Nonlinear Observer Design for Uncertain DC Microgrids Feeding Constant Power Loads

2021 ◽  
Author(s):  
Shekoufeh Neisarian ◽  
Mohammad Mehdi Arefi ◽  
Navid Vafamand ◽  
Mohammad S. Javadi ◽  
P. S. Joao Catalao
Keyword(s):  
Finite Time ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Constant Power ◽  
Dc Microgrids ◽  
Constant Power Loads

scholarly journals Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-20
Author(s):  
Alfonso Sepulveda-Galvez ◽  
Jesus A. Badillo-Corona ◽  
Isaac Chairez
Keyword(s):  
Escherichia Coli ◽  
State Estimation ◽  
Finite Time ◽  
Metabolic Networks ◽  
Complex Structure ◽  
High Gain ◽  
Observer Design ◽  
Superior Performance ◽  
State Observers ◽  
Metabolic Behavior

A set of distributed robust finite-time state observers was developed and tested to estimate the main biochemical substances in interconnected metabolic networks with complex structure. The finite-time estimator was designed by composing several supertwisting based step-by-step state observers. This segmented structure was proposed accordingly to the partition of metabolic network obtained as a result of applying the observability analysis of the model used to represent metabolic networks. The observer was developed under the assumption that a sufficient and small number of intracellular compounds can be obtained by some feasible analytic techniques. These techniques are enlisted to demonstrate the feasibility of designing the proposed observer. A set of numerical simulations was proposed to test the observer design over the hydrogen producing metabolic behavior of Escherichia coli. The numerical evaluations showed the superior performance of the observer (on recovering immeasurable state values) over classical approaches (high gain). The variations of internal metabolites inserted in the hydrogen productive metabolic networks were collected from databases. This information supplied to the observer served to validate its ability to recover the time evolution of nonmeasurable metabolites.

scholarly journals Corrections to “A Global High-Gain Finite-Time Observer”

2017 ◽  
Vol 62 (1) ◽  
pp. 509-510 ◽  
Author(s):  
Tomas Menard ◽  
Emmanuel Moulay ◽  
Wilfrid Perruquetti
Keyword(s):  
Finite Time ◽  
High Gain

A finite-time-convergent composite guidance law with strong fault-tolerant performance

2018 ◽  
Vol 233 (9) ◽  
pp. 3120-3130 ◽  
Author(s):  
Feng Chen ◽  
Guangjun He ◽  
Qifang He
Keyword(s):  
Finite Time ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Angular Rate ◽  
Gain Coefficient ◽  
High Gain ◽  
Line Of Sight ◽  
Practical Implementation ◽  
Integral Sliding Mode ◽  
Guidance Law

To improve the performance of tracking and intercepting the low-altitude target, a nonlinear integral sliding mode guidance law is designed firstly, which can guarantee that the line-of-sight angle converges to a desired tracking angle and the line-of-sight angular rate converges to zero in finite time. Meanwhile, to solve the chattering problem caused by the high gain coefficient of the sign function in the guidance law, a sliding mode disturbance observer is designed to estimate the maneuvering acceleration of the target. Moreover, a composite nonlinear integral sliding mode guidance law is designed by introducing the estimated value of the acceleration, which can weaken the chattering phenomenon effectively. Finally, considering the magnitude loss fault of the guidance command that may occur in the practical implementation, a composite guidance law with strong fault-tolerant performance is designed by introducing a fault compensation command, which can effectively improve the reliability of the system.

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.

Sign in / Sign up

Export Citation Format

Share Document