| 段学超,仇原鹰,段宝岩.基于自适应遗传算法的Stewart平台结构双目标优化设计[J].计算力学学报,2006,23(6):718~721 |
|
| 
码上扫一扫！ |
| 基于自适应遗传算法的Stewart平台结构双目标优化设计 |
| Bi-objective optimization of structural parameters of the Stewart platform based on adaptive genetic algorithm |
| 修订日期：2004-12-14 |
| DOI：10.7511/jslx20066134 |
| 中文关键词: 大射电望远镜 Stewart平台 结构参数 双目标优化 自适应遗传算法 |
| 英文关键词:large radio telescope,Stewart platform,structural parameters,bi-objective optimization,adaptive genetic algorithm |
| 基金项目:国家自然科学基金;教育部留学回国人员科研启动基金 |
| 段学超 仇原鹰 段宝岩 |
| 西安电子科技大学机电工程学院,陕西西安710071 |
| 摘要点击次数: 1666 |
| 全文下载次数: 9 |
| 中文摘要: |
| 探讨了大射电望远镜精调Stewart平台的设计准则，建立了综合衡量Stewart平台运动精度和质量的双目标优化模型，以其结构强度和固有频率为约束条件，采用自适应遗传算法对该优化问题求解。通过与采用标准遗传算法所得优化结果的比较，验证了自适应遗传算法在Stewart平台结构参数设计中的有效性。 |
| 英文摘要: |
| It is of great improtance to determine the structural parameters of the Stewart platform used for a large radio telescope(LT),since the parameters will affect the performances such as the workspace,weight,accuracy and servo bandwidth of the platform directly.The optimal design criteria for the Stewart platform is discussed firstly in this paper,then the bi-objective optimization model which synthesizes the kinematic accuracy and weight is established,in which the stuctural strength and natural freqency are considered as constraints.An optimization example stemmed from the 50m scaled model of LT is carried out by employing real-coded adaptive genetic algorithm(GA).A comparison between the results obtained form the adaptive GA and that from general GA shows the effectiveness of the adaptive GA in this optimization. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
