基于模糊建模的冷凝器污脏软测量

提出了一种基于模糊建模的冷凝器污脏软测量方法.该方法选取传热端差作为研究对象,应用模糊建模技术分离出冷凝器污脏对端差的影响.在模糊建模中,采用T-S模型描述变工况传热端差,研究了一种相似度判别法则以确定最优模型结构,并采用实数编码的遗传算法同时优化模型前、后件参数,从而获得了规则简化、精度较高的模糊模型.根据此方法,设计了试验系统,并进行了现场试验.试验结果表明:该方法能有效地在线监测冷凝器污脏,并在冷凝器出现堵管或空气漏入量较大时,取得比热阻法、传热系数法更可靠的测量结果.

Soft-sensing of fouling in condenser based on fuzzy modeling

A novel approach based on fuzzy modeling for online soft-sensing of fouling in condenser is proposed.In the approach,terminal temperature difference is chosen to reflect fouling state,fuzzy modeling is applied to separate the influence imposed by fouling on terminal temperature difference.During fuzzy modeling,T-S model is employed to approximate off-design condition terminal temperature difference,a fuzzy clustering algorithm based on similarity assessing is proposed to determine the optimal structure of the model and real-coded genetic algorithm is adopted to optimize model parameters.All these techniques make the fuzzy model compact and accurate.Based on it,an experimental system is developed and the experiment on an actual condenser is carried out.The results show the approach measures the fouling correctly,and is more effective than thermal resistance method or heat transfer coefficient method under the condition of blocked tubes or excessive amount of air in condenser.