基于模糊逻辑的系统故障和过程干扰单罐系统被动容错控制策略

H. Patel, V. Shah
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引用次数: 22

摘要

针对单罐液位控制系统在系统故障和过程扰动约束下性能下降的问题。本文建立了一类具有系统(泄漏)故障的单输入单输出(SISO)单罐液位控制系统的容错控制机制,在已建立的被动容错控制(PFTC)策略的基础上,提出了一种基于模糊逻辑加PI控制器的被动容错控制(PFTC)策略,并将模糊逻辑加PI控制的PFTC策略与传统PI反馈控制的PFTC策略进行了比较。考虑的系统故障是泄漏故障。根据被控系统和系统模型产生的辨识误差,构造故障预警。当系统发生故障时,采用模糊逻辑系统对故障进行识别和检测,并采用被动容错控制(PFTC)方法对泄漏故障进行补偿。对闭环系统的控制性能和稳定性进行了严格的研究。最后,对两种控制策略下的单罐液位控制系统进行了仿真和实时性能比较,从均方误差(MSE)和均方根误差(RMSE)两方面验证了PFTC在两种不同控制模式下的效率。因此,采用模糊+ PI控制器的PFTCS方案在误差指标方面具有优越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic based passive fault tolerant control strategy for a single-tank system with system fault and process disturbances
Aiming at the decreasing performance of single-tank level control system under the constraints of system fault and process disturbances. In this paper, the mechanism of fault- tolerant control (FTC) is set up for a class of single-input - single-output (SISO) single-tank level control system with system (leak) fault, and based on the established passive fault tolerant control (PFTC) strategy, a fuzzy logic plus PI controller based passive fault-tolerant control (PFTC) strategy is proposed and compared this PFTC strategy using fuzzy logic plus PI control and PFTC strategy using conventional PI feedback control. The considered system fault is leak fault. The fault warning is constructed according to the identification error came from the controlled system and system model. When the system fault occurs, fuzzy logic systems are used to identify and detected the faults, and the passive fault tolerant control (PFTC) method is employed to compensate the leak fault. The control performance and stability of the closed-loop system are rigorously investigated. Finally, simulation and real-time results performance comparison of a single-tank level control system for two control strategies are presented and demonstrate the efficiency of the PFTC using two different controller modes in terms of mean square error (MSE) and root mean square error (RMSE). And hence the proposed PFTCS scheme using fuzzyplus PI controller gives superior performance in terms of error indices.
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