干熄焦提升机定位系统智能控制策略应用

摘要

Considering the CDQ hoist positioning system’s characteristics like THE multivariable and random electromagnetic interference,both RBF neural network learning algorithm and on-line identification at real time were adopted to construct a redundant encoder positioning system to guarantee the hoist’s normal operation in the case of electromagnetic interference.Application results show that this intelligent control system has better control effect and strong robustness.%针对干熄焦提升机定位系统具有多变量和存在随机电磁干扰的特点，通过采用 RBF 神经网络学习算法实时在线辨识，构建了冗余的编码器定位系统，实现了当定位系统受强电磁干扰时，提升机仍能正常运行的目的。应用结果表明该智能控制系统具有很好的控制效果和很强的鲁棒性。