连续搅拌反应釜的自适应模糊辨识与预测控制

化工领域为保证生产安全,对温度、压强、浓度等工艺指标有严格的要求。连续搅拌反应釜属于典型的化工设备,存在较强的非线性和时滞性,传统的建模与控制方法无法满足其精度要求。针对连续搅拌反应釜系统提出一种自适应模糊辨识与预测控制的方法。首先根据模糊划分C均值聚类算法得到模糊隶属度和初始聚类中心,在此基础上采用分层遗传算法进一步优化连续搅拌反应釜T-S模糊模型的参数。其次,采用自适应机制遗忘因子递推最小二乘法来估计T-S模糊模型的后件参数。最后,基于得到的T-S模糊模型,对连续搅拌反应釜进行自适应模糊广义预测控制,仿真结果验证了该算法的有效性。

Adaptive Fuzzy Identification and Predictive control of Continuous Stirred Tank Reactor

In order to ensure the safety of production, the chemical industry has strict requirements on process indexes such as temperature, pressure and concentration. The CSTR is a typical chemical equipment, which has strong nonlinearity and time delay. The traditional modeling and control methods can not meet the accuracy requirements. In this paper, an adaptive fuzzy identification and predictive control method for CSTR is proposed. Firstly, the fuzzy membership degree and initial clustering center are calculated based on the fuzzy partition c-means clustering algorithm. Based on this, the antecedent parameters of T-S fuzzy model of CSTR are further optimized by combining hierarchical genetic algorithm. Secondly, the forgetting factor recursive least square method with self-adaptive mechanism is used to estimate the post parameters of T-S fuzzy model. Finally, based on the T-S fuzzy model, the adaptive fuzzy generalized predictive control is applied to the CSTR, and the simulation results verify the effectiveness of the algorithm.