On-line Identification Method of Power Limit Interval of Thermal Stability Section

Author(s):  
Jianxing Tang ◽  
Mingshun Liu ◽  
Lingzi Zhu ◽  
Yao Yao ◽  
Jinlong Zhang ◽  
...  
Automatica ◽  
1981 ◽  
Vol 17 (4) ◽  
pp. 653-655 ◽  
Author(s):  
P.A. Janakiraman ◽  
S. Renganathan

2017 ◽  
Vol 89 (3) ◽  
pp. 406-414 ◽  
Author(s):  
Wenjing Zhu ◽  
Dexin Zhang ◽  
Jihe Wang ◽  
Xiaowei Shao

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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