改进的BP网络管道机器人控制方法

Improved Pipe Robot Control Method Based on BP Network

由于石油管道具有重要性、封闭性和环境复杂性的特点,因此提高管道机器人控制系统的智能性与实时性具有重要的意义。本文将采用改进的神经网络控制模型,根据管道复杂的环境信息制定控制决策,降低训练次数,提高管道机器人控制系统的实时性。最后,将对一组测试数据进行验证,证实了控制系统的时效性。

Because of importance, closeness and complexity environment characteristics in oil pipeline, it is very important to improve the intelligence and real-time in pipe robots. In this article it will use neural network control model to develop control decision, reduce training times and improve the real-time of pipe robot control system based on environment information. This will be verified based on a set of data to prove the timeliness of algorithm.