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机构地区:[1]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001
出 处:《计算机与应用化学》2011年第7期839-842,846,共5页Computers and Applied Chemistry
基 金:国家自然科学基金资助项目(No 60804009);教育部高等学校博士点专项基金(No.20070217034)
摘 要:腈纶聚合过程属于多输入多输出(MIMO)非线性系统,聚合连续搅拌反应釜(CSTR)温度和聚合反应转化效率是腈纶聚合生产的重要工艺指标。腈纶聚合过程的非线性、强耦合,参数时变性,使得这两个指标不能同时兼顾。针对腈纶水相聚合过程,采用自适应模糊控制方法,设计了腈纶聚合连续搅拌反应釜转化率和温度的解耦控制器。首先利用反馈线性化方法对腈纶水相聚合模型进行处理,设计系统的等效控制。模糊系统可以较好地逼近非线性函数,等效控制器中的非线性和参数不确定性,可采用模糊系统进行逼近。模糊参数的求解在线实时进行,参数自适应律由Lyapunov综合法获得。针对模糊逼近误差,采用minmax鲁棒最优控制方法,抑制误差干扰项对系统的影响。系统仿真结果表明,解耦控制方法能够在保证聚合过程的转化效率的前提下,调节反应温度。该方法对于提高聚合产品的性能,对提高产品的差别化率具有重要意义。Acrylic polymerization is a class of multiple-input multiple-output complex nonlinear systems, and the temperature and conversion rate are the important technics parameters in continuous stirred tank ractor(CSTR) of acrylic polymerization process. But it is difficute to take into acootmt both two indicators for the serious nonlinear, stron8 coupling and time-varying parameters in polymerization. In this paper, the adaptive fuzzy control was designed based on feedback linearization model of polymerization, and the decoupling of conversion rate and temperature was realized in CSTR of acrylic polymerization. The equivalent control was obtained according to the feedback linearization model of polymerization. The fuzzy systems is good at approximation the nonlinear dynamic. So the fuzzy approach was used to approximate the nonlinear and uncertain dynamic in equivalent control, and the fuzzy parameters were adjusted on line by Lyaptmov approach. The robust compensate control was obtained by solving the minmax optimal problem to inhibit the fuzzy approximation error. The result of the simulation illustrated that the decoupling control scheme was efficient to regulate CSTR's temperature while holding the conversion rate of acrylic polymerization. The presented approach administered to improve the performance and the differentiation rate of the polymerization production.
关 键 词:腈纶聚合过程 连续搅拌反应釜 解耦控制 自适应模糊控制
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置] TQ015.9[自动化与计算机技术—控制科学与工程]
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