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对矿山电机车防滑器的智能控制系统进行了研究。首先选择pi-sigma模糊神经网络为防滑器的智能控制理论,在此基础上建立控制模型,并用VB编制了防滑器控制软件及工作状态演示界面。
The intelligent control system of mine electric locomotive antiskid was studied. Firstly, pi-sigma fuzzy neural network is chosen as the intelligent control theory of anti-skid device. Based on this, the control model is established and the anti-skid control software and working status demonstration interface are compiled with VB.