On line identification method of forming defects of small module plastic gears

2021 ◽  
Author(s):  
Zhaoyao Shi ◽  
Yiming Fang ◽  
Huixu Song
Keyword(s):  
Identification Method ◽  
Line Identification ◽  
On Line ◽  
Forming Defects ◽  
Plastic Gears

scholarly journals Modeling and Deterioration Diagnosis of Catalyst for Automobile Exhaust Gas by On-Line Identification Method With Variable Forgetting Factor

2006 ◽  
Vol 126 (12) ◽  
pp. 1637-1644 ◽  
Author(s):  
Yasushi Okada ◽  
Hiroyuki Okuda ◽  
Shuichi Adachi ◽  
Shinji Niwa ◽  
Mitsunobu Kajitani ◽  
...  
Keyword(s):  
Exhaust Gas ◽  
Forgetting Factor ◽  
Automobile Exhaust ◽  
Identification Method ◽  
Line Identification ◽  
On Line ◽  
Variable Forgetting Factor

A new on-line identification method for discrete multivariable linear systems

Automatica ◽  
1981 ◽  
Vol 17 (4) ◽  
pp. 653-655 ◽  
Author(s):  
P.A. Janakiraman ◽  
S. Renganathan
Keyword(s):  
Linear Systems ◽  
Identification Method ◽  
Line Identification ◽  
On Line

On-Line Identification Method in Column Liquid Chromatography:  UV Resonance Raman Spectroscopy

2001 ◽  
Vol 73 (20) ◽  
pp. 4977-4982 ◽  
Author(s):  
Reyer J. Dijkstra ◽  
Cornelius T. Martha ◽  
Freek Ariese ◽  
Udo A. Th. Brinkman ◽  
Cees Gooijer
Keyword(s):  
Column Liquid Chromatography ◽  
Raman Spectroscopy ◽  
Liquid Chromatography ◽  
Resonance Raman Spectroscopy ◽  
Resonance Raman ◽  
Identification Method ◽  
Line Identification ◽  
Uv Resonance Raman ◽  
Uv Resonance Raman Spectroscopy ◽  
On Line

A novel relative navigation method based on thrust on-line identification for tight formation keeping

2017 ◽  
Vol 89 (3) ◽  
pp. 406-414 ◽  
Author(s):  
Wenjing Zhu ◽  
Dexin Zhang ◽  
Jihe Wang ◽  
Xiaowei Shao
Keyword(s):  
High Precision ◽  
Relative Navigation ◽  
Content Type ◽  
Identification Method ◽  
Line Identification ◽  
Acceleration Sensors ◽  
On Line ◽  
Formation Keeping ◽  
Navigation Method ◽  
Tight Formation

Purpose The purpose of this paper is to present a novel high-precision relative navigation method for tight formation-keeping based on thrust on-line identification. Design/methodology/approach Considering that thrust acceleration cannot be measured directly, an on-line identification method of thrust acceleration is explored via the estimated acceleration of major space perturbation and the inter-satellite relative states obtained from space-borne acceleration sensors; then, an effective identification model is designed to reconstruct thrust acceleration. Based on the identified thrust acceleration, relative orbit dynamics for tight formation-keeping is established. Further, using global positioning system (GPS) measurement information, a modified extended Kalman filter (EKF) is suggested to obtain the inter-satellite relative position and relative velocity. Findings Compared with the normal EKF and the adaptive robust EKF, the proposed modified EKF has better estimation accuracy in radial and along-track directions because of accurate compensation of thrust acceleration. Meanwhile, high-precision relative navigation results depend on high-precision acceleration sensors. Finally, simulation studies on a chief-deputy formation flying control system are performed to verify the effectiveness and superiority of the proposed relative navigation algorithm. Social implications This paper provides a reference in solving the problem of high-precision relative navigation in tight formation-keeping application. Originality/value This paper proposes a novel on-line identification method for thrust acceleration and shows that thrust identification-based modified EKF is more efficient in relative navigation for tight formation-keeping.

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