-
摘要: 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。Abstract: 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%.
-
Key words:
- coal wharf /
- transportation system /
- fault-tolerant control /
- fault diagnosis
-
表 1 可容错故障范例样本
Table 1. Samples of fault-tolerant cases
序号 故障样本C(t) fi U(t): 容错控制律 c1(t) c2(t) c3(t) c4(t) c5(t) c6(t) 1 1.000 1.000 1.000 1.000 1.000 1.000 1 u1(t): 无故障, 传动控制系统正常运行 2 0.000 1.000 1.000 1.000 1.000 1.000 1 u2(t): 除铁器电磁铁失效, 临时切除, 维持运行 3 1.000 0.000 1.000 1.000 1.000 1.000 1 u3(t): 大块分离器电机报警, 屏蔽, 维持流程运行 4 1.000 1.000 0.000 1.000 1.000 1.000 1 u4(t): 输送带轻度跑偏, 报警, 维持流程运行 5 1.000 1.000 1.000 1.100 1.000 1.000 1 u5(t): 流程过载, 取料机电机减速, 降低运行指标 6 1.000 1.000 1.000 1.000 1.100 1.000 1 u6(t): 输送机电机过载, 减速, 降低运行指标 7 1.000 1.000 1.000 1.000 1.000 0.750 1 u7(t): 喷水电机出力下降, 改定点喷淋为循环喷淋 8 1.000 1.000 1.000 1.100 1.100 1.000 1 u8(t): 流程及输送机电机严重过载, 停车报警 表 2 连接权值
Table 2. Connecting weights
wij j 1 2 3 4 5 6 7 8 i 1 0.915 1.000 1.000 1.000 -1.069 0.931 -1.041 0.918 2 1.000 0.915 1.000 1.000 -1.069 0.931 -1.041 0.918 3 1.000 1.000 0.915 1.000 -1.069 0.931 -1.041 0.918 4 1.000 1.000 1.000 0.915 -1.069 0.931 -1.041 0.918 5 1.000 1.000 1.000 1.000 0.415 0.423 -1.045 0.932 6 1.000 1.000 1.000 1.000 0.423 0.415 -1.045 0.932 7 1.000 1.000 1.000 1.000 1.025 -0.973 0.529 0.502 8 1.000 1.000 1.000 1.000 1.073 -0.927 0.543 0.579 -
[1] 黄民, 魏任之. 矿用钢绳芯带式输送机实时工况监测与故障诊断技术[J]. 煤炭学报, 2005, 30(2): 245-250. doi: 10.3321/j.issn:0253-9993.2005.02.025Huang Min, Wei Ren-zhi. Real time monitoring techniques and fault diagnosis of mining steel cord belt conveyors[J]. Journal of China Coal Society, 2005, 30(2): 245-250. (in Chinese) doi: 10.3321/j.issn:0253-9993.2005.02.025 [2] 胡成, 李恩, 黄民, 等. 钢绳芯带式输送机实时工况监测与故障诊断系统[J]. 煤炭科学技术, 2003, 31(10): 4-7. doi: 10.3969/j.issn.0253-2336.2003.10.002Hu Cheng, Li En, Huang Min, et al. On-line performance monitoring and fault diagnostic system of steel core belt conveyor[J]. Coal Science and Technology, 2003, 31(10): 4-7. (in Chinese) doi: 10.3969/j.issn.0253-2336.2003.10.002 [3] 黄有方, 史建民, 赵婉莹, 等. 大型港口设备的现代电控系统的远程诊断技术[J]. 上海海运学院学报, 2000, 21(4): 44-49. doi: 10.3969/j.issn.1672-9498.2000.04.007Huang You-fang, Shi Jian-min, Zhao Wan-ying, et al. Remote diagnostic technology for the control system of modern port machinery[J]. Journal of Shanghai Maritime University, 2000, 21(4): 44-49. (in Chinese) doi: 10.3969/j.issn.1672-9498.2000.04.007 [4] Frank P M. Fault diagnosisin dynamic systems using analytical and knowledge-based redundancy[J]. Automatica, 1990, 26(3): 459-474. doi: 10.1016/0005-1098(90)90018-D [5] Ma Xian-min. Genetic taboo hybrid strategy for PID regulator parameter adaptation in belt conveyor[C]//Institute of Electrical and Electronics Engineers Computer Society. Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. Piscataway: Institute of Electrical and Electronics Engineers Computer Society, 2006: 607-612. [6] Pang Yu-song, Lodewijks G. Large-scale conveyor belt system maintenance decision-making by using fuzzy causal modeling[C]//Institute of Electrical and Electronics Engineers Inc. . Proceedings of 8th International IEEE Conference on Intelligent Transportation System. Vienna: Institute of Electrical and Electronics Engineers Inc., 2005: 402-406. [7] Jeinsch T. A robust model-based information system for monitoring and fault detection of large scale belt conveyor systems[C]//Institute of Electrical and Electronics Engineers Inc. . Proceedings of 4th World Congress on Intelligent Control and Automation. Vienna: Institute of Electrical and Electronics Engineers Inc., 2002: 3283-3287. [8] Patten RJ. Fault tolerant control: the 1997 situation[C]//IFAC. Proceedings of 3rd IFAC Symposium on Fault Detection, Supervision and Safety for Technical Process. Pergamon: Pergamon Press Ltd., 1997: 1029-1051. [9] Leonard J A, Kramer M A. Radial basis function networks for classifying process faults[J]. IEEE Control System, 1991, 11(3): 31-38. doi: 10.1109/37.75576