Linear parameter-varying observer design for vehicle yaw rate sensor bias estimation and signal reconstruction

2016 ◽  
Author(s):  
Guoguang Zhang ◽  
Zitian Yu ◽  
Junmin Wang
Keyword(s):  
Signal Reconstruction ◽  
Observer Design ◽  
Linear Parameter ◽  
Bias Estimation ◽  
Linear Parameter Varying ◽  
Yaw Rate ◽  
Parameter Varying ◽  
Rate Sensor

Interval observer design for continuous-time linear parameter-varying systems

2019 ◽  
Vol 134 ◽  
pp. 104541 ◽  
Author(s):  
Jitao Li ◽  
Zhenhua Wang ◽  
Wenhan Zhang ◽  
Tarek Raïssi ◽  
Yi Shen
Keyword(s):  
Continuous Time ◽  
Observer Design ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Linear Parameter Varying Systems ◽  
Parameter Varying ◽  
Interval Observer ◽  
Time Linear

scholarly journals Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems

2018 ◽  
Vol 51 (24) ◽  
pp. 1199-1204 ◽  
Author(s):  
Rihab Lamouchi ◽  
Tarek Raïssi ◽  
Messaoud Amairi ◽  
Mohamed Aoun
Keyword(s):  
Observer Design ◽  
Fault Estimation ◽  
Actuator Fault ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Linear Parameter Varying Systems ◽  
Parameter Varying ◽  
Interval Observer

scholarly journals Set Adaptive Observers for Linear Parameter-Varying Systems: Application to Fault Detection

2013 ◽  
Vol 136 (2) ◽  
Author(s):  
Denis Efimov ◽  
Tarek Raïssi ◽  
Ali Zolghadri
Keyword(s):  
Parameter Estimation ◽  
Observer Design ◽  
Adaptive Observer ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Linear Parameter Varying Systems ◽  
Set Membership ◽  
Parameter Varying ◽  
Exponential Complexity ◽  
Linear Parameter Varying System

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.

Robust Sideslip Angle Estimation for Over-Actuated Electric Vehicles: A Linear Parameter Varying System Approach

2013 ◽  
Author(s):  
Yan Chen ◽  
Junmin Wang
Keyword(s):  
Friction Force ◽  
System Approach ◽  
Estimation Method ◽  
Observer Design ◽  
Linear Parameter ◽  
Sideslip Angle ◽  
Angle Estimation ◽  
Friction Forces ◽  
Linear Parameter Varying ◽  
Parameter Varying

A new estimation method for estimating the vehicle sideslip angle, mainly based on a linear parameter varying (LPV) model with independently estimated tire friction forces, is proposed for electric ground vehicles (EGVs) with four independent in-wheel motors. By utilizing the individual wheel dynamics, the longitudinal ground friction force is estimated from a PID observer based on a descriptor linear system approach. Moreover, the lateral ground friction force for each wheel is estimated through the friction ellipse relationship given the estimated longitudinal friction force, without relying on explicit tire models. Since the estimation errors of friction forces may bring parameter uncertainty for the LPV system, robust analysis with desired H-infinity performance is given for the observer design of the LPV modeling. This method is specially proposed for large tire slip angles and lateral friction forces. Simulation results for different maneuvers validate this novel sideslip angle estimation method.

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