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PRELIMINARY PROBE INTO OPTIMIZATION ON PROPULSION IN SHORT DISTANCE COMPETITIVE SWIMMING
引用本文:王新峰,王连泽. PRELIMINARY PROBE INTO OPTIMIZATION ON PROPULSION IN SHORT DISTANCE COMPETITIVE SWIMMING[J]. 应用数学和力学(英文版), 2006, 27(1): 117-124. DOI: 10.1007/s 10483-006-0115-z
作者姓名:王新峰  王连泽
作者单位:Department of Engineering Mechanics,Department of Engineering Mechanics Tsinghua University,Beijing 100084,P.R.China,Tsinghua University,Beijing 100084,P.R.China
基金项目:Project supported by the 0lympics Foundation of the General Administration of Sport of China (No.020330)
摘    要:Based on the modeling of dynamics and energy conversion in competitive swimming,the optimal control theory was used to make an optimization analysis of the distance traveled in a given time.Using the records of the 27th Olympics and the results from previous research,an optimal solution of propulsion was derived using some hypotheses and constraints.Correspondingly,the optimal tactic for velocity and energy was put forward which was in agreement with the practice.

关 键 词:能量 最优化分析 推进力 速率
收稿时间:2004-04-29
修稿时间:2005-06-17

Preliminary probe into optimization on propulsion in short distance competitive swimming
Xin-feng Wang,Lian-ze Wang. Preliminary probe into optimization on propulsion in short distance competitive swimming[J]. Applied Mathematics and Mechanics(English Edition), 2006, 27(1): 117-124. DOI: 10.1007/s 10483-006-0115-z
Authors:Xin-feng Wang  Lian-ze Wang
Affiliation:Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P. R. China
Abstract:Based on the modeling of dynamics and energy conversion in competitive swimming, the optimal control theory was used to make an optimization analysis of the distance traveled in a given time. Using the records of the 27th Olympics and the results from previous research, an optimal solution of propulsion was derived using some hypotheses and constraints. Correspondingly, the optimal tactic for velocity and energy was put forward which was in agreement with the practice.
Keywords:competitive swimming  energy  optimization  propulsion
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