基于改进人工搜索群算法的真空灭弧室优化设计  

Vacuum Interrupter Optimization Design Based on the Improved Artificial Search Swarm Algorithm

作　　者：陈堂功[1] 康勇忠 刘亚贤[1] 

机构地区：[1]河北工业大学电磁场与电器可靠性省部共建重点试验室,天津300130

出　　处：《电器与能效管理技术》2016年第17期12-17,共6页Electrical & Energy Management Technology

基　　金：河北省自然科学基金项目(E2011202040)

摘　　要：引入混沌理论和方法,提出了改进的人工搜索群算法,并利用经典测试函数对其性能进行了测试和比较。以高压真空灭弧室为研究对象,以其内部电场分布均匀为设计目标,分别建立了参数化有限元分析模型和优化设计数学模型,利用混沌人工搜索群算法完成了优化设计,并对优化设计前后结果进行了分析。性能测试和优化设计结果表明,混沌人工搜索群算法具有较强的搜索能力,可有效解决电磁领域的优化设计问题。This paper put forward the chaos artificial searching swarm algorithm( CASSA),and uses classical test functions to compare the performance of the algorithm. Using the high voltage vacuum interrupter as the research object and its internal electric fields uniform distribution as the design goal,this paper differentiated establishes the parameterized finite element model and the optimization mathematical model respectively. And then it analyses and compares the results before and after optimization designing by the CASSA. The optimization designing results show that CASSA can solve the optimization design problem of electromagnetic field effectively.

关 键 词：人工搜索群算法 混沌 高压真空灭弧室 优化设计 有限元法 

分 类 号：TM501[电气工程—电器]