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生物发酵空气压力-流量控制系统故障诊断

Fault Diagnosis for Air Pressure-Flow Control System of Fermentation Process
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摘要 针对生物发酵反应过程空气压力 流量控制系统进行了故障诊断研究·建立了系统线性模型,模型中存在着不确定因素,包括线性化误差及不确定干扰·对于系统中发生传感器故障情形,提出了直接利用残差信息对系统不确定部分及故障进行混合估计,然后提取故障的方法·与以往方法相比,该方法不仅保证了诊断算法的鲁棒性,同时也提高了故障估计灵敏度·最后进行了仿真研究,结果验证了该方法的有效性· The fault diagnosis for air pressureflow control system of fermentation process was proposed. The system linear model was established, it contains some uncertainties consisting of linearization error and unknown disturbance. To the sensor faults, a new fault diagnosis method was presented. The mix estimation of the influence of the uncertainties and the fault was given using residual information, then the fault value was calculated. Compared with the old methods, the method not only guarantees robustness of the algorithm, but also enhances the sensitivity of fault estimation. A simulation example was used to illustrate the results.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2003年第8期723-726,共4页 Journal of Northeastern University(Natural Science)
基金 辽宁省自然科学基金资助项目(002013)
关键词 生物发酵 故障诊断 鲁棒性 灵敏度 不确定 biological fermentation fault diagnosis robustness sensitivity uncertainty
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