entry guidance
Recently Published Documents


TOTAL DOCUMENTS

214
(FIVE YEARS 37)

H-INDEX

23
(FIVE YEARS 4)

Astrodynamics ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 17-26
Author(s):  
Minwen Guo ◽  
Xiangyu Huang ◽  
Maodeng Li ◽  
Jinchang Hu ◽  
Chao Xu

AbstractTo meet the requirements of the Tianwen-1 mission, adaptive entry guidance for entry vehicles, with low lift-to-drag ratios, limited control authority, and large initial state bias, was presented. Typically, the entry guidance law is divided into four distinct phases: trim angle-of-attack phase, range control phase, heading alignment phase, and trim-wing deployment phase. In the range control phase, the predictor—corrector guidance algorithm is improved by planning an on-board trajectory based on the Mars Science Laboratory (MSL) entry guidance algorithm. The nominal trajectory was designed and described using a combination of the downrange value and other states, such as drag acceleration and altitude rate. For a large initial state bias, the nominal downrange value was modified onboard by weighing the landing accuracy, control authority, and parachute deployment altitude. The biggest advantage of this approach is that it allows the successful correction of altitude errors and the avoidance of control saturation. An overview of the optimal trajectory design process, including a discussion of the design of the initial flight path angle, relevant event trigger, and transition conditions between the four phases, was also presented. Finally, telemetry data analysis and post-flight assessment results were used to illustrate the adaptive guidance law, create good conditions for subsequent parachute reduction and power reduction processes, and gauge the success of the mission.


2022 ◽  
pp. 1-15
Author(s):  
Jack Ridderhof ◽  
Panagiotis Tsiotras ◽  
Breanna J. Johnson

2021 ◽  
Author(s):  
Anhua You ◽  
Yuhui Hu ◽  
Yixiao Zhu ◽  
Konstantin A. Neusypin ◽  
Maria S. Selezneva
Keyword(s):  

2021 ◽  
Vol 52 (1) ◽  
pp. 79-87
Author(s):  
R. T. Al-Wasity ◽  
Z. H. Mahmood ◽  
S. H. Ali

This study aimed to estimate  rice farms  efficiency using qualitative response models. The survied field included three districts in Najaf (Al Mishkhab, Al Hirah, Al Manadhira) during  agricultural season 2017, including a random sample of 80 farms, representing 7.5% of the total farms. To achieve the goals,  analysis was divided into two stages, the first stage was measuring the economic efficiency according to entry guidance of rice farms, while the second stage involved the analysis of factors affecting the economic efficiency of rice farms using the binomial logistic regression model to obtain a mathematical relationship between the dependent variable (response variable), which represents the economic efficiency of rice farms and the independent variables represented by age, experience and education of the owners , geographical area and type of possession for the farms. DEAP software  was used to estimate economic efficiency and SPSS software to analyze the logistic regression of the factors affecting economic efficiency. The results showed that the average economic efficiency according to the Economic efficiency was 66.7%, which means that rice farmers can obtain the same production using  66.7% of the total costs i.e. there is a 33% waste in economic resources in the research sample.The logistic regression  results indicated that each of experience (more than 35 years), education (university degree) and farm area (greater than 15 dunums) had a significant effect on the efficiency of the rice crop farms.


2021 ◽  
Author(s):  
Changhuang Wan ◽  
Chaoying Pei ◽  
Ran Dai ◽  
Gangshan Jing ◽  
Jeremy R. Rea

Sign in / Sign up

Export Citation Format

Share Document