集气管压力分级控制系统

针对焦炉集气管压力控制系统具有多耦合、强干扰、时变和非线性的特点,提出了集气管压力分级控制的方法,将模糊控制、前馈控制、PID控制相结合。实际运行结果表明,当外界因素引起集气管压力波动时,系统能迅速调节蝶阀开度使压力在30s内稳定在工艺要求的波动范围内。     

基于多目标遗传算法的炼焦生产过程优化控制

针对某钢铁企业实际炼焦生产过程的优化控制问题,提出一种多目标分层优化控制策略.首先采用主成分分析、灰色关联分析及改进前馈神经网络方法,建立综合生产目标与局部优化目标的关联模型,将综合生产目标映射为局部优化目标.然后建立以焦炭产量最大、焦炉能耗最小为优化目标,焦炭质量与工艺要求为约束条件,局部优化目标为决策变量的多目标优化模型.通过多目标遗传算法求解多目标优化问题,获得局部优化目标值.最后将局部优化目标作为各子过程控制系统的设定值及优化调度系统的决策参数,来动态调整过程操作参数,实现企业期望的综合生产目标.实际运行结果表明,提出的优化控制策略取得了较好的应用效果.     

三钢焦化厂焦炉集气管压力控制系统改造

针对三钢焦化厂捣固焦项目投产后,焦炉集气管压力在装煤时波动大的现状,提出了利用鼓风机调速结合电动蝶阀控制压力的方法。系统采用工控机和研华板卡,选用组态王软件,利用其自带的命令语言和控制算法实现了鼓风机自动调速和集气管压力的精确控制,装煤时集气管压力能在30 s内稳定在工艺要求范围内。     

基于GABP和改进NSGA-Ⅱ的高速干切滚齿工艺参数多目标优化决策#br#

针对高速干切滚齿过程中的工艺参数优化决策问题,提出一种基于加工工艺样本预测和多目标遗传优化算法的工艺参数优化决策方法。基于实际加工工艺样本集,以改进的多目标遗传算法（improved NSGA-Ⅱ）为主体模型,以最大刀具寿命、最小加工能耗为优化目标,以加工质量、加工时间为约束条件,利用遗传反向传播算法（GABP）神经网络建立关于加工优化目标的预测模型,将其作为多目标优化模型的适应度函数;通过DBSCAN算法获取待优化滚齿工艺问题的相似样本集,建立多目标优化问题输入区间;构建面向待优化滚齿工艺问题的多目标优化模型,迭代搜索最优工艺参数集。     

基于GABP和改进NSGA-Ⅱ的高速干切滚齿工艺参数多目标优化决策

针对高速干切滚齿过程中的工艺参数优化决策问题,提出一种基于加工工艺样本预测和多目标遗传优化算法的工艺参数优化决策方法.基于实际加工工艺样本集,以改进的多目标遗传算法(im-proved NSGA-Ⅱ)为主体模型,以最大刀具寿命、最小加工能耗为优化目标,以加工质量、加工时间为约束条件,利用遗传反向传播算法(GABP)神经...     

三偏心蝶阀的结构优化及流场分析

针对传统三偏心蝶阀的缺点,提出一种桁架过流式三偏心蝶阀结构,利用SolidWorks建立其三维模型并抽取不同开度下的流体域模型,然后根据设定的工况条件在Fluent中进行流场模拟计算。结果表明:优化后的阀板在不同开度下,过流面处承受的压力变小,承压面所能承受的压力变大;同等开度下,优化后的阀板表面的速度降低,阀板表面所受冲刷程度减轻;大开度下,优化后的阀板周围流动稳定性更好,改进后蝶阀的流量系数变大,流通能力变强。对改进前后的蝶阀结构进行阻力特性试验,对比分析得出:大开度下流阻系数明显减小,且改进后结构的流阻系数在同等开度下都有所减小,再次证明改进后结构的性能优势。     

模糊控制系统在焦炉集气管压力调节中的应用

集气管压力是煤焦化正常生产过程中一个非常重要的工艺参数,集气管压力波动性大,会造成后序生产的不稳定,通过对模糊控制系统[1]的应用,能有效的对集气管压力进行调节,保证焦炉正常生产的稳定。     

车间生产过程的能量足迹建模与加工参数协同优化

为降低零件加工过程的生产能耗,提出一种面向节能的车间生产过程多装备加工参数协同优化方法。以包含机床与机器人的定制化生产车间为研究对象,建立了考虑刀具退化动态过程的生产车间系统能量足迹模型。考虑刀具寿命、机器人运输平稳性的成本指标函数,建立了多装备系统的加工参数协同多目标优化模型。以加工时间为约束条件,使用蜂群算法获取了最优参数。实验表明,以节能目标为主的优化方案可降低机床加工能耗17.97%,降低机器人运输能耗18.13%。     

基于径向基函数神经网络和NLJ优化算法的精馏塔控制

精馏塔是一个非常重要的操作单元,具有较强的非线性和时变性,很难进行基于机理建模分析的实时优化控制.通过对精馏塔的相关过程变量进行主元分析确定了5～6个关键变量作为神经网络的输入,建立了精馏塔多个质量指标的RBF神经网络的软仪表模型,实现了这些质量指标的在线估计.选取其中部分软仪表模型作为优化控制系统中的约束条件函数模型和目标函数模型,采用NLJ优化算法(变收缩系数的随机搜索算法)获取最优的决策变量设定值,从而得到了满足生产质量要求的精馏塔产品的最大采出,实现了精馏塔的卡边优化控制.     

喷漆机器人喷漆工艺分析及优化研究

根据现今汽车行业的质量标准,分析了汽车喷涂工艺过程中的实际工作条件,建立带约束条件的多目标优化问题的数学模型,并选取用时最短和漆膜厚度方差最小为目标函数,利用非劣排序遗传算法（NSGA-Ⅱ）的优化方法,得到pareto最优解集。结果表明该优化算法能有效地解决多目标非线性约束优化问题。     

Discrete-time domain two-degree-of-freedom control design for integrating and unstable processes with time delay

A discrete-time domain two-degree-of-freedom (2DOF) design method is proposed for integrating and unstable processes with time delay. Based on a 2DOF control structure recently developed, a controller is analytically designed in terms of the H₂ optimal control performance specification for the set-point tracking, and another controller is derived by proposing the desired closed-loop transfer function for load disturbance rejection. Both controllers can be tuned relatively independent to realize control optimization. Analytical expression of the set-point response is given for quantitatively tuning the single adjustable parameter in the set-point tracking controller. At the meantime, sufficient and necessary conditions for holding robust stability of the closed-loop control system are established for tuning another adjustable parameter in the disturbance rejection controller, along with numerical tuning guidelines. Illustrative examples from the literature are used to demonstrate the effectiveness of the proposed method.     

基于变精度粗糙集的柴油机监测点优化

为获得有效的柴油机振动信号监测点,提出了一种基于变精度粗糙集模型的测点优化方法。该方法在保证集合相对可辨别性的前提下,计算各个测点的阈值,并以此作为测点优劣的评判标准。以某大功率柴油机为例,采集不同测点位置的振动信号,并提取频域特征值;应用基于变精度粗糙集的方法进行测点的优化计算,与实验结果进行对比,表明该方法能够有效区分不同测点位置以及不同故障类型的敏感程度,从而得到效果较好的振动信号监测点位置,同时减小噪声对故障诊断的影响,有利于提高故障诊断的准确率和效率。     

A ratio control scheme decoupling disturbance response from set-point response

In this paper a novel ratio control scheme is proposed for stable and unstable processes with time delay. The proposed ratio control system consists of two control loops with two-degrees-of-freedom control structure, which decouples the set-point response of each loop from its disturbance response. Two ratio controllers separately for the set-point and load disturbance changes are introduced between the two control loops, in order to achieve improved ratio control performance during the transients caused by the set-point and disturbance changes and to decouple the set-point response of the whole ratio control system from its disturbance response. For easy understanding and tuning, all the controllers in the ratio control system are designed analytically. As a result, the set-point and load disturbance responses of the ratio control system can be independently and conveniently tuned by a single control parameter. In addition, the proposed ratio control scheme can provide quantitative performance estimation. Simulation examples are included to illustrate the effectiveness of the proposed method.     

基于观测器和全局收缩映射的设定点控制

针对具有参数不确定性并且仅有位置信息可测的机器人系统,本文首先研究了带有速度近似的■+有偏标称重力补偿的设定点控制方法。该方法利用线性观测器理论对不可测速度信号进行近似,基于此伪速度信号设计的设定点控制虽然可以保证闭环系统全局稳定,但由于无法对重力精确补偿,因此系统存在静差。为消除静差,本文借助全局收缩映射理论,每到闭环系统输出达到稳态时,通过重复修正线性观测器参数使静差逐步收敛到零,保证系统全局渐进稳定。利用所设计的控制器对并行机器人进行设定点控制,仿真实验表明,虽然不同的设计参数对控制效果有所影响,但都能够确保系统输出收敛到标称点。     

冰蓄冷空调系统冷机出水温度优化控制研究

提出了冷机出水温度优化控制策略,对被控温度进行优化设定,使系统能够调整优化以适应负荷和室外气象条件的变化。并在建立的冰蓄冷系统仿真器的基础上,对该温度的优化控制策略进行了试验验证,比较了恒定设定控制和优化控制对整个系统能耗及稳定性的影响：     

基于管网特性变化的热泵空调系统协同优化方法

论述了基于管网特性变化的地下水源热泵中央空调系统协同优化方法,从热泵主机、输配系统和用户末端三方面建模,分析协同关系,得出实际优化设定点。通过一个简化的空调系统,对比计算定频调质和协同优化运行两种条件下的节能效果,说明协同优化方法可以实现系统整体的最大节能效果,并对实际运行有一定的指导意义。     

Tuning rules for robust FOPID controllers based on multi-objective optimization with FOPDT models

In this paper a set of optimally balanced tuning rules for fractional-order proportional-integral-derivative controllers is proposed. The control problem of minimizing at once the integrated absolute error for both the set-point and the load disturbance responses is addressed. The control problem is stated as a multi-objective optimization problem where a first-order-plus-dead-time process model subject to a robustness, maximum sensitivity based, constraint has been considered. A set of Pareto optimal solutions is obtained for different normalized dead times and then the optimal balance between the competing objectives is obtained by choosing the Nash solution among the Pareto-optimal ones. A curve fitting procedure has then been applied in order to generate suitable tuning rules. Several simulation results show the effectiveness of the proposed approach.     

Performance improvement of PI controllers through dynamic set-point weighting

Responses of high-order systems under Ziegler-Nichols tuned PI controllers (ZNPIs) are characterized by excessive oscillation with a large overshoot. Although, a fixed set-point weighting based PI controller (FSWPI) may decrease the overshoot considerably, it fails to reduce the oscillation in the set-point response. Moreover, both FSWPI and ZNPI exhibit equally poor load regulation. Keeping in mind an overall improved performance, we propose an online dynamic set-point weighting technique for ZNPIs. The dynamic set-point weighting factor (β_d) is heuristically derived from the instantaneous process trend. Performance of the proposed dynamic set-point weighting based PI controller (DSWPI) for various second- and third-order processes including a pH process shows a significant improvement during both the set-point and load disturbance responses over other methods. Stability and robustness of the proposed DSWPI are addressed. Effectiveness of the DSWPI is demonstrated through the real-time implementation on a practical DC position control system.     

IMC-PID design based on model matching approach and closed-loop shaping

Motivated by the limitations of the conventional internal model control (IMC), this communication addresses the design of IMC-based PID in terms of the robust performance of the control system. The IMC controller form is obtained by solving an H-infinity problem based on the model matching approach, and the parameters are determined by closed-loop shaping. The shaping of the closed-loop transfer function is considered both for the set-point tracking and for the load disturbance rejection. The design procedure is formulated as a multi-objective optimization problem which is solved by a specific optimization algorithm. A nice feature of this design method is that it permits a clear tradeoff between robustness and performance. Simulation examples show that the proposed method is effective and has a wide applicability.     

基于仿真的生产系统规划技术研究

现代生产系统是复杂的离散制造系统,传统生产线的设计过多地依靠经验和手工演算,缺少科学性,很难达到预期结果.其中生产线的设计与生产线设备的利用率、产品的生产时间和生产线的效率等密切相关.采用先进的生产线规划与仿真技术,可以对生产系统的性能进行评价,在生产规划的早期对其系统进行优化与调整,以便得到较高的生产率.以某发动机缸盖的生产线的规划为对象,采用面向对象的离散系统仿真软件eM-Plant软件构建生产线仿真模型并进行了生产线生产能力、设备的利用率和生产效率的分析,为生产线的优化提供了技术依据.在此基础上采用生产线规划软件FactoryCAD构建了发动机缸盖生产线的3D数字模型,为发动机缸盖生产线的设计提供了技术依据.