Model control technologies of dynamic secondary cooling and soft reduction for slab continuous casting

Dynamic model control technologies of secondary cooling and soft reduction of Baosteel are introduced. Model principle and control system architecture are summarized, as well as functions and features. Finally, applications of model technologies are discussed. The self-developed dynamic secondary cooling model and the dynamic soft reduction model have been applied on several casting machines inside and outside Baosteel, desired control effects were achieved with good stability and reliability. Temperature measurement results verified the correctness of model.

STUDY ON OPTIMAL CONTROL OF MUNICIPAL WATER DISTRIBUTION NETWORK

A systematic investigation is made on the problems which are related to the optimal control of the municipal water distribution network.A mathematical model of forecasting the water short term demand is proposed using the time series trigonometric function analysis method;the service discharge based macroscopic model of network performance is established using the network structuring method;a relatively satisfactory mathematical model for the optimal control of water distribution network is put forward in view of security and economy,and solved by the constrained mixed discrete variable complex arithmetic.The model is applied in many examples and the results are satisfactory.

Profile distribution and seasonal dynamics of water-extractable carbohydrate in soils under mixed broad-leaved Korean pine forest on Changbai Mountain

Carbohydrate represents an important part of the soil labile organic carbon pool. Water soluble carbohydrate drives the C cycle in forest soil by affecting microbial activity and hot water extractable car- bohydrate is thought related to soil carbon sequestration due to the asso- ciation with soil aggregation. In a temperate forest region of northeast China, Changbai Mountain, we investigated the abundance, spatial dis- tribution, and seasonal dynamics of cool and hot-water extractable car- bohydrate in soils under mixed broad-leaved Korean pine forest. The concentrations of cool-water extractable carbohydrate （CWECH） in three soil layers （0-5, 5-10, 10-20 cm） ranged from 4.1 to 193.3 g.kg-1 dry soil, decreasing rapidly with soil depth. On an annual average, the CWECH concentrations in soils at depths of 5-10 and 10-20 cm were 54.2% and 24.0%, respectively, of that in the 0-5 cm soil layer. CWECH showed distinct seasonal dynamics with the highest concentrations in early spring, lowest in summer, and increasing concentrations in autumn. Hot-water extractable carbohydrate （HWECH） concentrations in three soil layers ranged from 121.4 to 2026.2 g.kgq dry soil, which were about one order of magnitude higher than CWECH. The abundance of HWECH was even more profile-dependent than CWECH, and decreased more rapidly with soil depth. On an annual average, the HWECH concentration in soils 10-20 cm deep was about one order of magnitude lower than that in the top 0-5 cm soil. The seasonality of HWECH roughly tracked that of CWECH but with seasonal fluctuations of smaller amplitude. The car- bohydrate concentrations in cool/hot water extracts of soil were positively correlated with UV254 and UV2s0 of the same solution, which has implications for predicting the leaching loss of water soluble organic carbon.

Soft-Sensing Method of Water Temperature Measurement for Controlled Cooling System

Aiming at the water temperature measuring problem for controlled cooling system of rolling plant,a new water temperature measuring method based on soft-sensing method with a water temperature model of on-line self correction parameter was built.A water temperature compensation factor model was also built to improve coiling temperature control precision.It was proved that the model meets production requirements.The soft-sensing technique has extensive applications in the field of metal forming.

DISOPE distributed model predictive control of cascade systems with network communication

A novel distributed model predictive control scheme based on dynamic integrated system optimization and parameter estimation （DISOPE） was proposed for nonlinear cascade systems under network environment. Under the distributed control structure, online optimization of the cascade system was composed of several cascaded agents that can cooperate and exchange information via network communication. By iterating on modified distributed linear optimal control problems on the basis of estimating parameters at every iteration the correct optimal control action of the nonlinear model predictive control problem of the cascade system could be obtained, assuming that the algorithm was convergent. This approach avoids solving the complex nonlinear optimization problem and significantly reduces the computational burden. The simulation results of the fossil fuel power unit are illustrated to verify the effectiveness and practicability of the proposed algorithm.

Distributed model predictive control based on adaptive sampling mechanism

In this work,an adaptive sampling control strategy for distributed predictive control is proposed.According to the proposed method,the sampling rate of each subsystem of the accused object is determined based on the periodic detection of its dynamic behavior and calculations made using a correlation function.Then,the optimal sampling interval within the period is obtained and sent to the corresponding sub-prediction controller,and the sampling interval of the controller is changed accordingly before the next sampling period begins.In the next control period,the adaptive sampling mechanism recalculates the sampling rate of each subsystem’s measurable output variable according to both the abovementioned method and the change in the dynamic behavior of the entire system,and this process is repeated.Such an adaptive sampling interval selection based on an autocorrelation function that measures dynamic behavior can dynamically optimize the selection of sampling rate according to the real-time change in the dynamic behavior of the controlled object.It can also accurately capture dynamic changes,meaning that each sub-prediction controller can more accurately calculate the optimal control quantity at the next moment,significantly improving the performance of distributed model predictive control(DMPC).A comparison demonstrates that the proposed adaptive sampling DMPC algorithm has better tracking performance than the traditional DMPC algorithm.

风浪联合作用下分布式调谐质量阻尼器对海上半潜漂浮式风机的减振控制

海上半潜漂浮式风机在复杂深海环境下产生有害振动会威胁风机的安全性和耐久性,针对该问题并结合美国NREL的5 MW样机的漂浮平台几何结构构造,提出利用分布式调谐质量阻尼器(Tuned Mass Dampers,TMDs),即分别在漂浮平台的3根浮筒中布置TMD,形成等边三角形布置,对随机风浪联合作用下海上半潜漂浮式风机的平台纵摇振动进行控制。为了更好地描述分布式TMDs对海上半潜漂浮式风机的减振效果,基于拉格朗日方程和模态叠加法,对海上半潜漂浮式风机-TMDs耦合系统提出并建立了9自由度多体动力学模型。基于H_(∞)算法,即以平台纵摇频响函数的峰值为优化目标,对分布式TMDs的参数进行优化设计,优化设计中考虑了3个TMDs之间的耦合关系。对风机-TMDs耦合系统开展了风浪联合作用下的数值模拟,分析了分布式TMDs对平台纵摇响应的减振效果。结果表明:最优设计下的分布式TMDs对海上半潜漂浮式风机平台纵摇振动具有良好的减振性能;在三种不同工况的随机风浪荷载作用下,分布式TMDs对平台纵摇固有频率附近的功率谱密度曲线峰值减振率和标准差减振率能分别达到39%和52%以上。

基于模型参考自适应的水肥一体化控制系统设计

针对水肥混合过程中水肥EC值精准控制的问题,设计一个基于模型参考自适应的水肥一体化决策和控制系统。建立母液动态调控模型,并通过该模型设计模型参考自适应控制器。仿真试验结果显示,模型参考自适应控制相较于模糊PID控制,在跟踪试验中超调量降低1.2%,调整时间减少12.6 s,阶跃试验中超调量降低14.4%,调整时间减少超过2 s,抗干扰能力优于模糊PID控制。通过3种方式进行田间试验,对比模糊PID控制和人工灌溉方式,采用模型参考自适应控制能够使番茄株高分别提高15.7%和35.6%,茎粗分别增长11.1%和18.6%,产量分别提升23.3%和48.1%,结果表明,模型参考自适应控制优于模糊PID控制和人工灌溉方式,从而验证模型参考自适应控制的有效性,为精准施肥灌溉提供技术支持。

基于水资源空间均衡的“四水四定”调控模型构建

为实现未来不同时间尺度下的水资源空间均衡与动态调控,创建了一套完整严谨、可动态调控的“四水四定”模型体系。通过模糊信息粒化窗口的支持向量机模型预测区域未来总用水量,利用基于时间序列相似性分析的自回归支持向量机模型预测区域未来分用水量,并对两类数据进行不确定性分析;构建了复杂回归函数对各类用水指标进行情景预测,经统计检验后将其作为当前用水模式下未来用水指标;构建了“四水四定”水资源承载力模型和水资源空间均衡模型,基于未来总用水量、未来各分用水量、未来用水指标,选用水资源负载系数、用水效益和水土资源匹配系数3个指标,结合基尼系数量化水资源空间均衡度,分析当前用水模式下未来水资源均衡度;构建了最优化模型,以最小化基尼系数为目标函数调整未来用水模式,实现水资源动态调控。所创建的模型体系可以实现未来不同时间尺度下的水资源空间均衡与动态调控。

含光储充的配网虚拟电厂二次调频随机模型预测控制策略

含光储充的主动配电网作为一种灵活的新型调节资源,可通过聚合其内部的多类分布式电源组成配网虚拟电厂(distribution-level virtual power plant,DVPP)进而整体参与系统二次调频,具有广阔的发展前景。但实际配电网内部情况复杂,存在储能配置有限导致可调容量不足、光伏短时出力难以预测导致控制不精确、功率分配不合理导致内部电压越限的问题,传统虚拟电厂调频策略难以适用。针对上述问题,提出了一种基于随机模型预测控制(stochastic model predictive control,SMPC)的DVPP二次调频策略,通过聚合模型设计、光伏不确定功率的场景树模型搭建、SMPC策略设计的方式实现了分布式电源出力扰动情况下DVPP快速、准确响应自动发电控制(automatic generation control,AGC)指令的目标,并有效降低了功率调节对系统内部电压的影响,为DVPP参与系统二次调频提供了理论基础。

固体氧化物电解池时空分布式参数建模

固体氧化物电解池(SOEC)在高温环境下运行,内部存在复杂的热电相互耦合,温度、电压的控制对电堆平稳、安全运行至关重要。针对电堆复杂非线性、时空分布的特点,基于时空最小二乘支持向量机(LS-SVM)构建了SOEC温度、电压时空分布模型,采用一个核函数来描述电堆流道方向不同位置的空间相关性,采用动态回归方程描述电堆温度、电压分布的时间特性。通过Simulink构建SOEC机理仿真模型,生成样本数据来对时空分布模型进行训练并测试。仿真结果表明该模型能够准确预测SOEC温度、压力在时间及空间维度的分布,具有较优的泛化能力,可为电解系统优化与控制提供参考。

桥式起重机分布式质量吊重系统双摆滑模控制

随着吊装作业的多元化发展,起重机吊装对象也从传统的质点式吊重向分布式质量吊重方向发展。针对桥式起重机在吊装分布式质量吊重时吊重的大摆角抑制和小车定位控制问题,提出了两种基于滑模控制理论的、用于吊重消摆和小车快速定位的方法。首先,综合考虑了桥式起重机吊装对象的结构特征、小车电机的驱动特性、摩擦阻力以及环境中的随机扰动对吊装作业的影响,建立了桥式起重机分布式质量吊重系统的非线性双摆动力学模型;然后,设计了桥式起重机分布式质量吊重系统的非线性双摆动力学普通滑模控制器(OSMC)和分层滑模控制器(HSMC),采用Lyapunov函数和Barbalat引理证明了闭环系统的稳定性;最后,利用数值仿真研究了OSMC和HSMC在分布式质量吊重减摆控制方面的性能差异。仿真及研究结果表明:与OSMC相比,采用HSMC不仅可以在12 s内实现小车精确定位目的,而且可以实现对分布式质量吊重在5°~9°摆动范围下的快速抑制目的,完成了对系统状态变量的有效控制;同时,对比结果表明HSMC对起重机系统内部和外部扰动变化有很强的鲁棒性和抗干扰性。

水冷型高功率动力电池包冷却结构优化

车用高功率动力电池放电倍率大、产热快,易出现电芯过热问题,以优化水冷型高功率电池模组放电散热能力为研究目的,对电池模组冷却参数进行组合探究。搭建模组放电-产热耦合仿真模型,以冷却液温度T、流速V,冷管宽度W、高度H为优化边界建立四因素-四水平正交试验,利用极差分析法完成了各因素对响应目标影响的权重计算,结果显示:对模组最高温度和最大温差影响最大的因素分别是冷却液温度和流速。在权重计算结果基础上结合响应目标直方图和电芯表面温度分布图确定了全组最优解,较优方案Ι台架试验结果与仿真值相吻合,验证了本次优化方法的正确性。

生物氧化预处理过程pH值随机分布控制方法研究

生物氧化预处理过程中氧化槽pH值是影响细菌活性的关键因素之一,而pH值输出形态分布不符合高斯分布,使传统的均值和方差难以描述输出pH值分布,本文提出一种对矿浆输出pH的概率密度函数(PDF)统计信息控制方法。首先,采用B样条逼近矿浆输出pH值的PDF统计信息;其次,针对权值向量之间的关系,利用动态神经网络(DNN)建立控制输入和权值向量之间的非线性动态模型,基于建立pH的PDF统计信息权值模型,设计滑模变结构控制器,通过构造Lyapunov函数进行稳定性分析;最后,实现输出PDF统计信息对目标PDF统计信息的跟踪。仿真结果验证了所提方法的有效性,为生物氧化预处理过程提供了新方法。

基于系统回归模型的真空镀膜设备液冷加热盘设计方法研究

晶圆加热盘的设计有两大核心性能指标:工作面温度均匀性和控温能力,晶圆加热盘在设计定型前需要经过多次仿真迭代与测试验证,以确定产品性能满足设计需求。本研究基于有限元计算与系统回归模型,精准预测加热器实际所需长度、功率密度以及对应排布方案,以温度均匀性为优化目标,获取最优设计方案。经不同方案验证,该模型的精度在98%以上,可显著提升加热盘设计效率,为人工智能在加热盘设计领域的应用提供可能性。此外,基于传热学理论,提出了一种加热盘控温能力的设计方法,通过一维计算的方式,为加热盘控温能力的优化设计起到了指导作用。

小型水利水电工程施工质量控制模型构建

针对当前质量控制策略已无法满足水利工程建设施工质量要求,基于AHP理论构建一种新的施工质量控制模型。经架构质量控制模型和工程质量控制动态优化模型,将质量控制模型分为目标层、准则层和方案层进行分析,建立判断矩阵判断工程施工阶段的质量控制情况,根据模型拟合值序列与实际测量值序列,解得两者关联度、残差以及后验差数值。选取某市一座无坝径流引水式小型发电水电站,采用层次分析法检验模型控制效果,根据10名专家的质量评估因子评判结果与最大隶属度准则可知,所建模型具有较为理想的施工效果,能够满足后续实际工程建设要求。

离心冷水机组动态仿真与控制开发研究

冷水机组控制系统影响机组的运行性能,利用仿真的方法对其进行设计可以加快设计效率、降低开发周期及成本。文章介绍了基于冷水机组动态仿真的智能控制器设计与仿真测试。首先在Modelica环境下基于热力学定律建立了冷水机组物理模型并进行了模型验证和测试,再将冷水机组仿真模型与控制器模型结合形成动态-控制仿真平台,在此平台上开发并测试了智能加载PID(Proportion、Integral、Differential,结合比例、积分和微分三种环节于一体)、智能整定PID等算法,结果表明,基于仿真平台的控制设计可行,智能PID控制器能很好地降低系统超调量、消除系统震荡,使机组稳定可靠运行。

Research on Water-Exit and Take-off Process for Morphing Unmanned Submersible Aerial Vehicle

This paper presents a theoretic implementation method of Morphing Unmanned Submersible Aerial Vehicle （MUSAV）, which can both submerge in the water and fly in the air. Two different shapes are put forward so that the vehicle can suit both submergence and flight, considering the tremendous differences between hydrodynamic configuration and aerodynamic configuration of a vehicle. The transition of the two shapes can be achieved by using morphing technology. The water-to-air process, including water-exit, morphing, take-off and steady flight, is analyzed. The hydrodynamic and aerodynamic model of the vehicle exiting the water surface obliquely and then taking off into the air has been founded. The control strategy after morphing is analyzed and the control method is given. Numerical method is used to validate the motion model of the water-exit process. Results of simulations show the validity of the proposed model and the feasibility of MUSAV in theory.

Robust distributed controller design of rotational single-link smart materials beam

A dynamic modelling and controller design were presented for a single-link smart materials beam, a flexible beam bonded with piezoelectric actuators and sensors for better control performance. Taking into account bounded disturbances, a robust distributed controller was constructed based on the system model, which was described by a set of partial differential equations (PDEs) and boundary conditions (BCs) . Subsequently, a finite dimensional controller was further developed, and it was proven that this controller can stabilize the finite dimensional model with arbitrary number of flexible modes. Keywords Dynamic modelling - Robust distributed controller - Flexible beam - Smart material

基于DMPC-PSO动态威胁下的多UAV在线航迹规划

研究了多UAV在战场环境部分已知、突然出现动态威胁情况下的三维在线航迹规划问题。采用“预规划-在线轨迹跟踪”的模式,根据已知的地形和威胁信息,预先规划出多UAV飞行的参考航迹,然后在跟踪参考航迹的基础上,根据检测到的环境和威胁信息,采用DMPC-PSO进行航机规划,使多UAV可以避开突发的威胁和已知的威胁。为了更进一步说明DMPC-PSO算法的有效性,将DMPC-PSO算法用于多UAV的低空突防在线航迹规划。