煤炭码头自动化运输系统容错控制方法

Fault-tolerant control method of automatic transportation system for coal wharf

为了解决煤炭码头自动化运输系统对控制的可靠性和安全性要求,提出了一种容错控制方法。运用径向基函数神经网络构造故障诊断器,通过容错故障范例检索,建立了从故障诊断到控制律重构之间的映射关系,实施运输系统的控制律实时重构。应用结果表明:所提出的容错控制方法明显提高了煤炭码头自动化运输系统的技术性能和安全可靠性,系统的各类故障的识别率大于97%,各类故障的误诊率小于1%,系统的有效度由原来的90%提高到98%以上。

For the improvement of reliability and safety for coal wharf＇s automatic transportation system, a fault-tolerant control method was put forward. Fault detection and diagnosis（FDD） was constructed by using radial basis function network （RBFN）, the mapping relationship between FDD and control rule reconstruction（CRR） was built by searching fault-tolerant cases, and CRR was realized. Applying result shows that the proposed method obviously improves the safety and reliability of the system, its fault discrimination ratio is more than 97%, fault misdiagnosis ratio is less then 1%, and the validity of the system rises from 90% to 98%. 2 tabs, 4 figs, 9 refs.