| contributor author | Jian Liu | |
| contributor author | Quanbao Wang | |
| contributor author | Ji-an Chen | |
| contributor author | Haitao Zhao | |
| contributor author | Dengping Duan | |
| date accessioned | 2017-05-08T22:22:53Z | |
| date available | 2017-05-08T22:22:53Z | |
| date copyright | May 2015 | |
| date issued | 2015 | |
| identifier other | 43792553.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/79133 | |
| description abstract | In the design of the power system of a high-altitude airship (HAA), the principal target is to satisfy the needs of the power demand and achieve the best balance of minimum weight and maximum reliability. To handle this problem, configuration analysis of the power system is performed. Mathematical models of output power, reliability, and weight are presented. Relationships between weight, reliability, and configurations are discussed in detail. Several design rules related to the design of the HAA’s power system are deduced. For obtaining the optimal configuration, the self-adaptive genetic algorithm (GA) is applied. Results show that the optimal configuration, compared to the configuration without redundancy, has a 258% increase in reliability and a 55.9% increase in weight. The weight increase is necessary to achieve more reliability improvement. | |
| publisher | American Society of Civil Engineers | |
| title | Configuration Analysis of a High-Altitude Airship’s Regenerative Power System | |
| type | Journal Paper | |
| journal volume | 28 | |
| journal issue | 3 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/(ASCE)AS.1943-5525.0000408 | |
| tree | Journal of Aerospace Engineering:;2015:;Volume ( 028 ):;issue: 003 | |
| contenttype | Fulltext | |