High-gain observer with sliding mode for nonlinear state estimation and fault reconstruction

2014 ◽  
Vol 351 (4) ◽  
pp. 1995-2014 ◽  
Author(s):  
K.C. Veluvolu ◽  
M. Defoort ◽  
Y.C. Soh
Keyword(s):  
State Estimation ◽  
Sliding Mode ◽  
High Gain ◽  
Nonlinear State Estimation ◽  
Fault Reconstruction ◽  
High Gain Observer ◽  
Nonlinear State

Robust Nonlinear Control of Mode-Coupling-Based Vibrations by Using High-Gain Observer and Sliding-Mode Controller

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Lyes Nechak
Keyword(s):  
Nonlinear Control ◽  
Mode Coupling ◽  
Sliding Mode ◽  
High Gain ◽  
State Observer ◽  
Sliding Mode Controller ◽  
Coupling Mechanism ◽  
Robust Nonlinear Control ◽  
High Gain Observer ◽  
Nonlinear State

Abstract This paper is dedicated to the robust nonlinear control of friction-induced vibrations (FIV), more particularly those generated according to the mode-coupling mechanism. A nonlinear scheme which consists of a sliding-mode controller implemented by using a high-gain state observer is proposed. The main objective is to suppress or mitigate the generated vibrations by taking into account of the nonlinearities and uncertainties inherent to friction systems. Hence, this study proposes the analysis of the closed-loop performances of the high-gain observer-based sliding-mode controller when used for the active control of vibrations issued from the mode-coupling mechanism. Based on numerical simulations, the proposed controller has shown suitable performances distinguished from an effective suppress of the generated vibrations. Otherwise, it is shown that the gain of the used nonlinear state observer must be tuned in order to ensure a suitable compromise between the robustness level of the performances with respect to parameter uncertainty and the robustness level with respect to the measurement noise.

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

2013 ◽  
Vol 313-314 ◽  
pp. 1115-1119
Author(s):  
Yong Qi Wang ◽  
Feng Yang ◽  
Yan Liang ◽  
Quan Pan
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Scaling Factor ◽  
Estimation Accuracy ◽  
Nonlinear State Estimation ◽  
Cubature Kalman Filter ◽  
Novel Method ◽  
Simulation Results ◽  
Tracking Filter ◽  
Nonlinear State

In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

Nonlinear state estimation of packed-bed tubular reactors

AIChE Journal ◽  
1979 ◽  
Vol 25 (4) ◽  
pp. 718-720 ◽  
Author(s):  
M. A. Soliman ◽  
W. Harmon Ray
Keyword(s):  
State Estimation ◽  
Packed Bed ◽  
Tubular Reactors ◽  
Nonlinear State Estimation ◽  
Nonlinear State
Sign in / Sign up

Export Citation Format

Share Document