论文标题
骑自行车的人疲劳和恢复动力学的实验模型在计时试验中实现最佳起搏
Experimental Modeling of Cyclists Fatigue and Recovery Dynamics Enabling Optimal Pacing in a Time Trial
论文作者
论文摘要
几十年来，在时间审判中改善骑自行车的表现一直是体育科学家的挑战。在理解其背后的生理概念方面有很多工作。在最近的自行车绩效绩效文章中，经常讨论关键力量（CP）和厌氧工作能力（AWC）的概念。 CP是可以由骑自行车的人长时间维持的力量。在理论上，可以在此限制下或低于此限制，这意味着可以继续无限的时间。但是，在CP上产生功率的能源来源有限。这个有限的能源是AWC。从该水箱燃烧能量后，骑自行车的人可以通过在CP以下踏板来恢复一些。在本文中，我们利用CP和AWC的概念在数学上对肌肉疲劳和骑自行车者的恢复进行了建模。然后，这些模型用于在格林维尔SC的10.3公里课程上进行计时工作的最佳控制问题。该课程是使用计算机在实验室环境中模拟的。最后，将最佳仿真结果与计算机上一个受试者的性能进行了比较。
Improving a cyclist performance during a time-trial effort has been a challenge for sport scientists for several decades. There has been a lot of work on understanding the physiological concepts behind it. The concepts of Critical Power (CP) and Anaerobic Work Capacity (AWC) have been discussed often in recent cycling performance related articles. CP is a power that can be maintained by a cyclist for a long time; meaning pedaling at or below this limit, theoretically, can be continued for infinite amount of time. However, there is a limited source of energy for generating power above CP. This limited energy source is AWC. After burning energy from this tank, a cyclist can recover some by pedaling below CP. In this paper we utilize the concepts of CP and AWC to mathematically model muscle fatigue and recovery of a cyclist. Then, the models are used to formulate an optimal control problem for a time trial effort on a 10.3 km course located in Greenville SC. The course is simulated in a laboratory environment using a CompuTrainer. At the end, the optimal simulation results are compared to the performance of one subject on CompuTrainer.
