Configuration Estimation of Gough-Stewart Platforms Using Extended Kalman Filtering

Volume 7A: 26th Biennial Mechanisms and Robotics Conference ◽

10.1115/detc2000/mech-14067 ◽

2000 ◽

Author(s):

Ernest D. Fasse ◽

Albert J. Wavering

Keyword(s):

Real Time ◽

Kalman Filtering ◽

Time Estimation ◽

Stewart Platform ◽

Attitude Estimation ◽

Extended Kalman Filtering ◽

Filtering Algorithms ◽

Satellite Attitude ◽

Deterministic Methods ◽

Real Time Estimation

Abstract This paper develops extended Kalman filtering algorithms for a generic Gough-Stewart platform assuming realistically available sensors such as length sensors, rate gyroscopes, and accelerometers. The basic idea is to extend existing methods for satellite attitude estimation. The nondeterministic methods are meant to be a practical alternative to existing iterative, deterministic methods for real-time estimation of platform configuration.

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A Novel Dual Correction Extended Kalman Filtering Algorithm for The State of Charge Real-Time Estimation of Packing Lithium-Ion Batteries

International Journal of Electrochemical Science ◽

10.20964/2020.12.52 ◽

2020 ◽

pp. 12706-12723

Author(s):

HaoTian Shi ◽

Keyword(s):

Lithium Ion Batteries ◽

Real Time ◽

Kalman Filtering ◽

Lithium Ion ◽

Time Estimation ◽

The State ◽

State Of Charge ◽

Extended Kalman Filtering ◽

Filtering Algorithm ◽

Real Time Estimation

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Real-Time Estimation of Tire-Road Friction Coefficient Based on Unscented Kalman Filtering

2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) ◽

10.1109/icite50838.2020.9231417 ◽

2020 ◽

Author(s):

Xuewu Lin ◽

Jianqiang Wang ◽

Qing Xu ◽

Gaolei Shi ◽

Yitao Jin

Keyword(s):

Friction Coefficient ◽

Real Time ◽

Kalman Filtering ◽

Time Estimation ◽

Road Friction ◽

Real Time Estimation ◽

Road Friction Coefficient

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Real time estimation of the wheel-rail contact condtions using multi-Kalman filtering and fuzzy logic

Proceedings of 2012 UKACC International Conference on Control ◽

10.1109/control.2012.6334713 ◽

2012 ◽

Cited By ~ 3

Author(s):

I Hussain ◽

T. X. Mei ◽

Mohammad Mirzapour

Keyword(s):

Fuzzy Logic ◽

Real Time ◽

Kalman Filtering ◽

Time Estimation ◽

Real Time Estimation

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Real time estimation of ship motions using Kalman filtering techniques

IEEE Journal of Oceanic Engineering ◽

10.1109/joe.1983.1145542 ◽

1983 ◽

Vol 8 (1) ◽

pp. 9-20 ◽

Cited By ~ 47

Author(s):

M. Triantafyllou ◽

M. Bodson ◽

M. Athans

Keyword(s):

Real Time ◽

Kalman Filtering ◽

Time Estimation ◽

Ship Motions ◽

Real Time Estimation ◽

Filtering Techniques

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A machine for real-time estimation of the tribological characteristics of materials

Industrial laboratory Diagnostics of materials ◽

10.26896/1028-6861-2020-86-4-61-65 ◽

2020 ◽

Vol 86 (4) ◽

pp. 61-65

Author(s):

M. V. Abramchuk ◽

R. V. Pechenko ◽

K. A. Nuzhdin ◽

V. M. Musalimov

Keyword(s):

Real Time ◽

Time Estimation ◽

Tribological Characteristics ◽

Continuous Processing ◽

Friction Machine ◽

Dynamic Friction Coefficient ◽

Displacement Sensors ◽

Frictional Interaction ◽

Real Time Estimation ◽

Automated Quality Control

A reciprocating friction machine Tribal-T intended for automated quality control of the rubbing surfaces of tribopairs is described. The distinctive feature of the machine consists in implementation of the forced relative motion due to the frictional interaction of the rubbing surfaces fixed on the drive and conjugate platforms. Continuous processing of the signals from displacement sensors is carried out under conditions of continuous recording of mutual displacements of loaded tribopairs using classical approaches of the theory of automatic control to identify the tribological characteristics. The machine provides consistent visual real time monitoring of the parameters. The MATLAB based computer technologies are actively used in data processing. The calculated tribological characteristics of materials, i.e., the dynamic friction coefficient, damping coefficient and measure of the surface roughness, are presented. The tests revealed that a Tribal-T reciprocating friction machine is effective for real-time study of the aforementioned tribological characteristics of materials and can be used for monitoring of the condition of tribo-nodes of machines and mechanisms.

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