铁道标准设计2018，Vol.62Issue(4)：151-155,5.DOI:10.13238/j.issn.1004-2954.201705220007
基于启发式Q(λ)学习的铁路绝缘子定位研究
Research on Location of Railway Insulators Based on Heuristic Q(λ) Learning
付虹 1王国志 1柯坚 1邓斌 1吴文海1
作者信息
- 1. 西南交通大学机械工程学院,成都 610031
- 折叠
摘要
Abstract
Intelligent flushing of electric railway insulators is an effective way to solve the disadvantages of artificial washing,and the key to intelligent flushing is to identify and locate the insulator. Through the analysis of the current intelligent flushing devices, a method for tracking railway insulator is proposed. Based on sensor information, heuristic Q(λ) algorithm is used to quickly and accurately find the insulator. First, the insulator flushing environment model is established, then the problem of slow convergence caused by blind learning of the traditional Q(λ) learning algorithm is solved by adjusting the reward function design through pillar marking introduction. The heuristic strategy function is designed and integrated in Q(λ) learning to improve the learning and convergence speed of the algorithm. Finally,the Matlab simulation experiment is carried out based on the two learning algorithms and optimal parameter settings are determined. The simulation results verify the correctness and feasibility of the heuristic Q(λ) learning algorithm.关键词
电气化铁路/铁路绝缘子/启发式Q(λ)学习/定位Key words
Electrified railway/Railway insulator/Heuristic Q(λ) Learning/Location分类
交通工程引用本文复制引用
付虹,王国志,柯坚,邓斌,吴文海..基于启发式Q(λ)学习的铁路绝缘子定位研究[J].铁道标准设计,2018,62(4):151-155,5.
