模糊核聚类在优化模糊控制隶属函数中的应用

针对模糊控制器隶属函数的设计与优化缺乏自学习能力的缺点,将模糊核聚类算法与TrustRegion(信赖域)方法结合起来。首先利用模糊核聚类算法对模糊控制输入、输出样本集进行聚类,然后用Trust-Region最优化方法对聚类结果进行曲线拟合,实现了模糊控制输入、输出空间的划分、隶属函数类型的确定和参数的优化。在Matlab中的仿真结果表明:模糊控制器经过笔者提出的算法优化后控制品质有较大的改善和提高。     

露天矿开采境界优化的模糊数学方法

针对大型露天矿开采境界优化问题,采用模糊数学的模糊综合评判原理建立了优化模型。针对某露天矿山工程实际,利用该模型对设计提出的几种方案进行优化,确定出在多种因素影响下的最优方案。     

平面二级倒立摆基于参数优化的模糊控制

对基于XY平台的平面二级倒立摆进行运动学和动力学分析,得到系统状态方程。通过构造综合误差E和综合误差变化率EC,减少输入变量维数设计模糊控制器,使模糊控制器的控制：觇则更为简单、有效,同时对量化因子参数进行优化。     

基于模糊优化压力容器的设计

在压力容器常规设计方法单纯根据强度理论进行设计的基础上,提出综合考虑压力容器设计、制造、检验、试运行和工作环境等因素对设计计算的影响。根据模糊数学理论,应用模糊数学优化的方法,把影响压力容器的各因素和等级进行模糊综合评判,得到目标函数约束条件的最优水平截集,从而建立压力容器模糊优化设计的数学模型,寻求最适宜的压力容器设计方案。     

多组分精馏塔序的优化

多组分精馏分离过程,可能存在许多种塔序结构的型式。从这些塔序结构型式中寻求、选择其中的最优者,是化学工程中一个重要的课题。本文采用模糊数学的聚类分析方法,对多组分精馏主流塔序进行优化,它的要点是建立各组分在分离性能上的模糊分布,按照各组分的这种模糊分布的亲疏关系进行分类,然后再根据相对挥发度大小顺序建立主流塔序。     

基于模糊多准则决策理论优化化工设备的选材

基于模糊多准则决策理论，建立了化工设备待选材料主要评价因素的模糊决策矩阵，采用模糊折衷型评价方法进行材料优劣排序，实现了选材的优化。     

化工中的模糊优化研究

针对化学工程学的传统研究方法之局限性,本文采用模糊优化建模及相应的模糊优化方法,有效地解决了化工中含多种形式的非确定性信息的两个实际问题.     

回转窑支承系统构件等寿命模糊优化研究

以支承系统各构件疲劳寿命相当为优化目标,考虑接触应力、滚圈变形、托轮、托轮轴配合面不脱开等约束条件的模糊因素,建立了支承系统构件等寿命模糊优化模型,并引入广义最大最小法,对模型进行求解.结果表明:优化后滚圈、托轮、托轮轴的疲劳寿命比较接近,且载荷大于2000kN时,滚圈疲劳寿命有较大幅度的提高.     

低噪声轮胎花纹结构参数优化方法

在轮胎花纹低噪声优化原理及寻优方法研究基础上，重点论述了用模糊遗传算法（F－GA）对轮胎花纹的花纹块大小及比例、花纹槽大小及比例、节距排列、节距比例、错位及花纹条数八大参数进行优化的方法。通过寻优可得到多种低噪声轮胎花纹方案，再对其耐磨性、抓着力、美观程度等进行模糊综合评判，最终确定各项性能最佳的低噪声轮胎花纹方案。     

大型多支承回转窑简体结构模糊优化

将模糊优化与有限元法相结合,并考虑回转窑简体厚度、制造成本、筒体变形、疲劳强度等约束条件的模糊因素,建立了筒体结构优化模型,为了区分目标和约束的不同重要程度,引入了广义水平截集法,将模糊约束转化为普通约束,并应用子问题近似法进行求解.应用实例表明:简体结构优化,减小了筒壳的最大等效应力、最大支承力及简体的变形椭圆度,增大了简体的疲劳安全系数,增强了简体抗御突变载荷的能力.     

基于模糊HSE评价的多目标反应路径综合方法

为在过程早期获取HSE综合性质优良的反应路径,提出了基于模糊HSE评价的多目标反应路径综合方法。全面考虑HSE因素,形成了HSE指标结构,通过设定指标的隶属度函数,建立模糊推理系统,应用层次分析法（analytic hierarchy process,AHP）确定指标的权重因子,形成了模糊HSE评价方法。基于模糊HSE评价体系,建立以安全、环境和健康为目标函数的多目标优化模型,求解得到优良的反应路径组合。应用于萘甲胺反应路径综合实例,定量得到了反应路径及其HSE目标函数值,为过程早期的路径优选提供定量数据。     

炼焦生产过程质量产量能耗的集成优化控制

针对炼焦生产过程强非线性、大时滞等特点,基于过程参数的主元分析和灰色关联分析,建立了焦炭质量、产量及焦炉能耗的神经网络预测模型和以焦炭质量为约束条件,产量、能耗为目标函数的优化控制模型。提出一种融合模糊C均值聚类粗优化和差分进化细优化的集成优化控制方法,进行过程参数的优化并给出操作优化指导。系统仿真结果表明,该方法能有效地抑制工况的波动,达到高产、优质、低耗的生产目标,为复杂工业过程的建模和优化控制提供了一种新思路。     

IMMOBILIZED PLANT CELL CULTURE IN BIOREACTOR WITH NYLON CLOTH CASSETTE AND ITS FUZZY OPTIMAL DESIGN

A self-made bioreactor with a nylon cloth cassette immobilized C.roseus plant cells was used tostudy the indole alkaloid production in the“production phase”.The results show this bioreactor provided agood microenvironment for plant cells and was suitable for the culture of C.roseus cells to synthesize the indolealkaloids.A fuzzy multicritical optimal method was used to optimize the constructional and operating parametersof the immobilized plant cell reactor.The fuzzy optimization provide useful information for exploiting thelarge scale alkaloid production process.     

集成模糊安全评价的反应路径综合

为在过程早期获取本质安全性较好的反应路径,将模糊安全评价集成于反应路径综合形成有效方法。根据反应路径综合阶段信息选择指标,通过设定指标的隶属度函数,建立模糊推理系统,且应用层次分析法（analytic hierarchy process,AHP）求得指标的权重因子,形成了模糊评价方法。为消除中间变量的影响,分别建立单、双输入变量的模糊推理系统。将它集成于反应路径综合,通过原料筛选规则,模糊安全评价,建立以安全为目标的优化模型,求解得到优良的反应路径组合。应用于萘甲胺反应路径综合实例,定量得到了反应路径及其目标函数值,并对两种模糊系统的综合结果进行了比较。     

Energy efficiency analysis of natural gas hydrates production method

The decomposition of natural gas hydrates is a phase change process, which involves the consumption and conversion of various forms of energy, such as electrical energy, chemical energy, and thermal energy. In order to evaluate the economy capacity of natural gas hydrates exploitation, an exergy model was established to calculate the energy efficiency ratio (EER) of hydrate production method. The CO₂ replacement method is taken as a case study to introduce the calculation equation and flow chart of energy efficiency ratio in any production period. The amount of CO₂ injection, gas production and mole fraction of methane in produced gas are three key parameters in the process of CO₂ replacement. The ratio between the amount of gas production and CO₂ injection is defined as production injection ratio to eliminate the influence of deposit size. This work studied the influence of production injection ratio and the mole fraction of methane in produced gas on EER. The results show that the EER of gas hydrates production by CO₂ replacement is between 0.31 and 6.4 under the set conditions, and it increases with the increase of production injection ratio. In addition, increasing the mole fraction of methane in produced gas can reduce the energy consumption for gas separation and increase EER. Therefore, there are two effective ways to increase EER of CO₂ replacement through controlling the amount of gas production and the mole fraction of methane in produced gas. The EER model is established to provide guidance for the optimization of gas hydrate mining process.     

天然气水合物置换开采的能源效率研究

天然气水合物分解是一个相变过程,开采时涉及各种形式能量的消耗和转化,如电能、化学能、热能等。为了科学地评价天然气水合物开采技术的经济性,建立了以有效能（）为核心的能源效率计算方程,并以CO₂置换法开采天然气水合物为例,介绍任意生产周期内能源效率的计算方法和流程框图。在CO₂置换开采天然气水合物的工艺过程中,注气量、产气量和产气中甲烷含量是三个关键参数,将产气量与注气量之比定义为采注比,分析采注比及产气中甲烷含量对能源效率的影响。结果表明：在设定条件下CO₂置换开采天然气水合物的整体能源效率介于0.31～6.4之间;增大采注比,有利于提高能源效率;产气中甲烷的摩尔分率越高,气体分离的能耗越低,能源效率也可显著提高。因此,调控产气量和产气中甲烷摩尔分率是提高CO₂置换法能源效率的主要途径。通过所建立的能效计算方程为天然气水合物开采工艺的优化提供指导。     

Fuzzy optimization design of multicomponent refinery hydrogen network

Hydrogen and light hydrocarbon components are essential resources of the refinery. The optimization of the refinery hydrogen system and recovery of the light hydrocarbon components contained in the gas streams are key strategies to reduce the operating costs for sustainable development. Many research efforts have been focused on the optimization of single impurity hydrogen network, and the flowrates of the hydrogen sources and sinks are assumed to be constant. However, their flowrates vary along with the quality of crude oil and refinery processing plans. A general superstructure of multicomponent refinery hydrogen network is proposed, which considers four components, namely H₂, H₂S, CH₄ and , as well as the flowrate variations of hydrogen source and hydrogen sink. The mathematical model based on the superstructure is developed with objective functions, including the minimization of total annualized cost and the maximization of overall satisfaction of the hydrogen network. Moreover, the model considers the removal of hydrogen sulfide and the recovery of light hydrocarbon components (i.e.C₂₊, ) in the optimization. To verify the applicability of the proposed mathematical model, a simplified industrial case study with four scenarios is solved. The optimization results show that the economic benefit can be maximized by considering both the direct reuse of gas streams from high-pressure separator (HP gas stream) and from low-pressure separator (LP gas stream) and the recovery of the light hydrocarbon streams. The fuzzy optimization method can be used to guide the optimal design of the refinery hydrogen system with multi-period variable flowrates.     

A new optimization model and a customized solution method for natural gas production network design and operation

This article proposes to tackle integrated design and operation of natural gas production networks under uncertainty, using a new two‐stage stochastic programming model, a novel reformulation strategy, and a customized global optimization method. The new model addresses material balances for multiple key gas components, pressure flow relationships in gas wells and pipelines, and compressor performance. This model is a large‐scale nonconvex mixed‐integer nonlinear programming problem that cannot be practically solved by existing global optimization solvers or decomposition‐based optimization methods. With the new reformulation strategy, the reformulated model has a better decomposable structure, and then a new decomposition‐based global optimization method is developed for efficient global optimization. In the case study of an industrial naturals production system, it is shown that the proposed modeling and optimization methods enable efficient solution, and the proposed optimization method is faster than a state‐of‐the‐art decomposition method by at least an order of magnitude. © 2016 American Institute of Chemical Engineers AIChE J, 63: 933–948, 2017     

基于模糊数学和灰关联分析的多因素综合评判方法优选完井方式

采用模糊数学和灰关联分析相结合的多因素综合评判方法进行完井方式优选,克服了单独使用模糊综合评判时权重集人为赋值的片面性,使评价更加客观全面合理.首先分析影响完井方式选择的因素,然后建立完井方式优选的多因素综合评判理论模型,最后进行了实例计算.