scholarly journals Actuator Fault Compensation in a Set-membership Framework for Linear Parameter-Varying Systems

2017 ◽  
Vol 50 (1) ◽  
pp. 4033-4038 ◽  
Author(s):  
Rihab Lamouchi ◽  
Messaoud Amairi ◽  
Tarek Raïssi ◽  
Mohamed Aoun
2018 ◽  
Vol 51 (24) ◽  
pp. 1199-1204 ◽  
Author(s):  
Rihab Lamouchi ◽  
Tarek Raïssi ◽  
Messaoud Amairi ◽  
Mohamed Aoun

Author(s):  
Denis Efimov ◽  
Tarek Raïssi ◽  
Ali Zolghadri

This paper deals with the problem of joint state and parameter estimation based on a set adaptive observer design. The problem is formulated and solved for an LPV (linear parameter-varying) system. The resolution methodology avoids the exponential complexity obstruction usually encountered in the set-membership parameter estimation. A simulation example is presented to illustrate the efficiency of the proposed approach.


Author(s):  
Israel I. Zetina‐Rios ◽  
Gloria‐L. Osorio‐Gordillo ◽  
Rodolfo A. Vargas‐Méndez ◽  
Guadalupe Madrigal‐Espinosa ◽  
Carlos‐M. Astorga‐Zaragoza

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7674
Author(s):  
Gyujin Na ◽  
Yongsoon Eun

This paper proposes an actuator fault detection method for unmanned ground vehicle (UGV) dynamics with four mecanum wheels. The actuator fault detection method is based on unknown input observers for linear parameter varying systems. The technical novelty of current work compared to similar work in the literature is that wheel frictions are directly taken into account in the dynamics of UGV, and unknown input observers are developed accordingly. Including the wheel friction, the vehicle dynamics are in the form of linear parameter varying systems. Friction estimation is also discussed in this work, and the effect of friction mismatch was quantitatively investigated by simulations. The effectiveness of proposed method was evaluated under various operation scenarios of the UGV.


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