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基于T-S模糊模型的船舶推进系统故障诊断研究 被引量:4

Researches on Fault Diagnosis of Ship Propulsion System Based on T-S Fuzzy Model
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摘要 基于船舶推进系统基准(SPSB)测试平台,建立了船舶推进控制系统的T-S模糊模型,结合满意控制理论,通过模糊化与反模糊化将船舶推进系统分成多个局部子系统,给出了各局部子系统在执行器恒偏差故障下,满足多个性能指标约束的故障诊断观测器设计方法。利用Simulink工具箱建立了仿真模型,验证了船舶推进控制系统多性能指标约束下故障诊断观测器的正确性与有效性,为船舶推进系统的故障诊断提供了新的思路。 Based on the benchmarking platform of ship propulsion systems benchmarks(SPSB) and combining with satisfactory control theory, a T-S fuzzy model of marine propulsion control system is established. Through the fuzzification and anti-fuzzification, ship propulsion system is divided into a plurality of local subsystems. Each local subsystem gives the actuator under constant bias fault, which meets multiple performance indices of design method of fault diagnosis. By using Simulink toolbox, the simulation model is set up, which verifies correctness and effectiveness of the fault diagnosis observer with good multiple performance indices in ship propulsion system. It provides a new way for fault diagnosis of ship propulsion system.
出处 《船舶工程》 北大核心 2015年第7期59-63,共5页 Ship Engineering
基金 浙江省科技计划项目(2013C31045) 浙江省自然科学基金项目(LY12F03009) 宁波市自然科学基金项目(2012A610004) 宁波大学学科项目(XKL14D2081) 浙江省教育厅科研项目(Y201224770)
关键词 船舶推进系统 故障诊断 执行器故障 T-S模糊模型 ship propulsion system fault diagnosis actuator failure T-S fuzzy model
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  • 1孙丰涛,张承慧,崔纳新,杜春水.变频器故障诊断技术研究与分析[J].电机与控制学报,2005,9(3):272-274. 被引量:39
  • 2王丽荣,徐玉如.水下机器人传感器故障诊断[J].机器人,2006,28(1):25-29. 被引量:24
  • 3向先波,徐国华,蔡涛,茅及愚.水下机器人智能自救系统[J].华中科技大学学报(自然科学版),2006,34(7):111-114. 被引量:14
  • 4魏鲁原,崔霞.专家系统在变压器故障诊断中的应用[J].机床与液压,2007,35(7):251-253. 被引量:6
  • 5窦金生,汤天浩.基于知识的故障诊断技术及其在船舶上的应用[J].船舶工程,2007,29(4):72-74. 被引量:10
  • 6DAIGLE M J, KOUTSOUKOS X D, BISWAS G. Distributed diag- nosis in formations of mobile robots[J]. Robotics, 2007, 23(2) : 353 - 369.
  • 7MISKOVICN N, BARISIC M. Fault detection and localization on underwater vehicle propulsion systems using principal component analysis [ C ]//IEEE, ISIE 2005, June 20 - 23,2005, Dubrovnik. 2005 ~ 1721 - 1728.
  • 8LUO R C, CHEN T M, SU K L. Target tracking using hierarchi- cal grey-fuzzy motion decision-making method [ J ]. Systems, Man and Cybernetics, Part A: Systems and Humans, 2001, 31 (3) : 179 - 186.
  • 9LIU Xiaofeng, MA Lin, MATHEW J. Machinery fauh diagnosis based on fuzzy measure and fuzzy integral data fusion techniques [ J ]. Mechanical Systems and Signal Processing, 2009 ( 23 ) : 690 - 700.
  • 10WU Wann-Yih, CHEN Shuopei. A prediction method using the grey model GMC( 1, n) combined with the grey relational analy- sis: a case study on internet access population forecast [ J ]. Ap- plied Mathematics and Computation, 2005,1 (169) : 198 - 217.

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