自适应神经元算法在现场总线中的应用

Application of adaptive nerve cell algorithm in CAN bus

给出了一个基于CAN总线的智能温控节点设计,详细分析了各硬件电路及软件结构。将传统的温度控制同现场总线技术结合起来,构成一个分布控制系统。通过对该神经控制系统的仿真,表明系统的鲁棒性强。说明现场总线与神经智能技术结合,能取得较好的控制效果。

The authors use the traditional temperature control technology together with CAN bus to form a distributed control system. The design of an intelligent temperature control node based on CAN bus is introduced, the hardware and software are analyzed in detail. Simulations to the neural control system show that the system has high robustness, and the combination of CAN bus with neural network can result in good control effect.