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基于T-S模糊神经网络模型的编码器故障软闭环容错控制方法
引用本文:李炜,李青朋,毛海杰,龚建兴.基于T-S模糊神经网络模型的编码器故障软闭环容错控制方法[J].计算机应用,2014,34(12):3646-3650.
作者姓名:李炜  李青朋  毛海杰  龚建兴
作者单位:1. 兰州理工大学 电气工程与信息工程学院,兰州 730050 2. 甘肃工大舞台技术工程有限公司,兰州 730050
基金项目:国家自然科学基金资助项目;甘肃省自然科学基金资助项目;兰州理工大学校基金资助项目
摘    要:针对舞台吊杆调速系统中速度反馈元件增量式编码器可能产生的丢码、断码等问题,为防止故障影响的传播,结合数据驱动技术提出了一种基于T-S模糊神经网络(T-S FNN)模型的编码器故障检测与软闭环容错控制方法。首先,利用系统正常运行时的历史数据建立系统较为精确的T-S FNN预测模型,并用实际编码器测量值与模型预测值相减获得残差信息;其次,将其残差实时数据通过改进的序贯概率比检验(SPRT)算法进行故障检测,以克服检测延迟确保故障检测的可靠性,当检测出故障时,再用T-S FNN模型的预测输出替代故障编码器的输出,实现软闭环方式下的容错运行;最后,针对编码器丢码、断码等故障,采用上述方法进行了软闭环容错控制的有效性仿真验证。仿真结果表明,该方法能够快速可靠地检测到编码器故障,并用预测的重构信息通过容错切换机制,及时、安全地以软闭环方式实现了对故障编码器的容错控制,提高了舞台吊杆调速系统运行的安全可靠性。

关 键 词:舞台吊杆调速系统  增量式编码器  T-S模糊神经网络  改进的序贯概率比检验算法  软闭环容错控制
收稿时间:2014-06-16
修稿时间:2014-08-08

Method of soft close-loop fault-tolerant control in encoder faults based on the T-S fuzzy neural network model
LI Wei LI Qingpeng MAO Haijie GONG Jianxing.Method of soft close-loop fault-tolerant control in encoder faults based on the T-S fuzzy neural network model[J].journal of Computer Applications,2014,34(12):3646-3650.
Authors:LI Wei LI Qingpeng MAO Haijie GONG Jianxing
Affiliation:1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou Gansu 730050, China;
2. Gansu University of Technology Stage Technology Engineering Company Limited, Lanzhou Gansu 730050, China
Abstract:In order to solve the problem of losing codes and pausing codes in the incremental encoder which conventionally used in the stage speed boom system as speed feedback component and prevent the propagation of fault effect, a fault detection and soft close-loop fault-tolerant control method for encoder faults based on the Takagi-Sugeno Fuzzy Neural Network (T-S FNN) model combined with the data-driven technique was proposed. First, the system of T-S FNN prediction model was established by substracting the system normal operation of historical data, and achieved the residual error information by using measured values of actual encoder and predicted values. Next, encoder fault was detected by using improved Sequential Probability Ratio Test (SPRT) algorithm though the residual error real-time data information, in order to overcome the detection delay and ensure the reliability of fault detection. Then, according to the prediction model output which was used as the output of the encoder failure to accommodate the failure when fault was detected, in order to realize the soft fault-tolerant operation by using close-loop mode. At last, the encoder fault tolerant process for the losing codes and pausing codes was proved by simulation experiment effectively. The simulation results show that the method of this article can detect the encoder fault information rapidly and reliability, and switch from the fault-tolerant mechanism timely and safely by using the reconstruction of the prediction information, in order to realize the soft closed-loop fault-tolerant control of encoder failure and improve the safety and reliability of stage speed boom system operation process.
Keywords:
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