Comparative analysis of lunar capture braking method based on particle swarm optimization. Issue 4 (5th April 2019)
- Record Type:
- Journal Article
- Title:
- Comparative analysis of lunar capture braking method based on particle swarm optimization. Issue 4 (5th April 2019)
- Main Title:
- Comparative analysis of lunar capture braking method based on particle swarm optimization
- Authors:
- Bai, Chengchao
Guo, Jifeng
Zhang, Wenyuan
Liu, Tianhang
Guo, Linli - Abstract:
- Abstract : Purpose: The purpose of this paper is to verify the feasibility of lunar capture braking through three methods based on particle swarm optimization (PSO) and compare the advantages and disadvantages of the three strategies by analyzing the results of the simulation. Design/methodology/approach: The paper proposes three methods to verify capture braking based on PSO. The constraints of the method are the final lunar orbit eccentricity and the height of the final orbit around the Moon. At the same time, fuel consumption is used as a performance indicator. Then, the PSO algorithm is used to optimize the track of the capture process and simulate the entire capture braking process. Findings: The three proposed braking strategies under the framework of PSO algorithm are very effective for solving the problem of lunar capture braking. The simulation results show that the orbit in the opposite direction of the trajectory has the most serious attenuation at perilune, and it should consume the least amount of fuel in theoretical analysis. The methods based on the fixed thrust direction braking and thrust uniform rotation braking can better ensure the final perilune control accuracy and fuel consumption. As for practice, the fixed thrust direction braking method is better realized among the three strategies. Research limitations/implications: The process of lunar capture is a complicated process, involving effective coordination between multiple subsystems. In this article,Abstract : Purpose: The purpose of this paper is to verify the feasibility of lunar capture braking through three methods based on particle swarm optimization (PSO) and compare the advantages and disadvantages of the three strategies by analyzing the results of the simulation. Design/methodology/approach: The paper proposes three methods to verify capture braking based on PSO. The constraints of the method are the final lunar orbit eccentricity and the height of the final orbit around the Moon. At the same time, fuel consumption is used as a performance indicator. Then, the PSO algorithm is used to optimize the track of the capture process and simulate the entire capture braking process. Findings: The three proposed braking strategies under the framework of PSO algorithm are very effective for solving the problem of lunar capture braking. The simulation results show that the orbit in the opposite direction of the trajectory has the most serious attenuation at perilune, and it should consume the least amount of fuel in theoretical analysis. The methods based on the fixed thrust direction braking and thrust uniform rotation braking can better ensure the final perilune control accuracy and fuel consumption. As for practice, the fixed thrust direction braking method is better realized among the three strategies. Research limitations/implications: The process of lunar capture is a complicated process, involving effective coordination between multiple subsystems. In this article, the main focus is on the correctness of the algorithm, and a simplified dynamic model is adopted. At the same time, because the capture time is short, the lunar curvature can be omitted. Furthermore, to better compare the pros and cons of different braking modes, some influence factors and perturbative forces are not considered, such as the Earth's flatness, light pressure and system noise and errors. Practical implications: This paper presents three braking strategies that can satisfy all the constraints well and optimize the fuel consumption to make the lunar capture more effective. The results of comparative analysis demonstrate that the three strategies have their own superiority, and the fixed thrust direction braking is beneficial to engineering realization and has certain engineering practicability, which can also provide reference for lunar exploration orbit design. Originality/value: The proposed capture braking strategies based on PSO enable effective capture of the lunar module. During the lunar exploration, the capture braking phase determines whether the mission will be successful or not, and it is essential to control fuel consumption on the premise of accuracy. The three methods in this paper can be used to provide a study reference for the optimization of lunar capture braking. … (more)
- Is Part Of:
- Aircraft engineering and aerospace technology. Volume 91:Issue 4(2019)
- Journal:
- Aircraft engineering and aerospace technology
- Issue:
- Volume 91:Issue 4(2019)
- Issue Display:
- Volume 91, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 91
- Issue:
- 4
- Issue Sort Value:
- 2019-0091-0004-0000
- Page Start:
- 558
- Page End:
- 566
- Publication Date:
- 2019-04-05
- Subjects:
- Particle swarm optimization -- Fixed thrust direction braking strategy -- Fuel consumption optimization -- Lunar capture braking
Aerospace engineering -- Periodicals
Aeronautics -- Systems engineering -- Periodicals
Astronautics -- Systems engineering -- Periodicals
Airplanes -- Equipment and supplies -- Periodicals
Space vehicles -- Equipment and supplies -- Periodicals
Aerospace industries -- Periodicals
629.1 - Journal URLs:
- http://estar.bl.uk/cgi-bin/sciserv.pl?collection=journals&journal=00022667 ↗
http://info.emeraldinsight.com/products/journals/journals.htm?id=aeat ↗
http://www.emeraldinsight.com/journals.htm?issn=0002-2667 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/AEAT-09-2018-0250 ↗
- Languages:
- English
- ISSNs:
- 1748-8842
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0780.070000
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British Library HMNTS - ELD Digital store - Ingest File:
- 22228.xml