两种类型活套的张力控制模型

介绍了带钢热连轧过程中电动活套和液压活套各自的张力控制模型，前者以电机电流作为控制对象，后者以液压缸压力作为控制对象。     

热轧窄带钢车间改造设计实践

介绍了将串列式、横列式热带生产线改造成半连续、３／４连续式生产线的设计实践。改造后可以连铸坯为原料，实现一火成材，并使卷重增加，产量和成材率提高。     

自粘聚合物改性沥青防水卷材胶粘剂

在SBS改性沥青防水卷材表面涂敷一层自粘性胶粘剂并以隔离纸覆盖，使用时撕掉隔离纸直接粘贴于屋面即可粘接密封牢，不但施工方便而且消除了熔融法施工造成的污染。该胶粘剂由沥青40％～65％，SBS 5％～30％，增粘剂2％～25％和助剂5％～25％构成。胶层具有可塑性、延展性，可自行填补屋面出现的裂缝，保证防水卷材的防水密封效果。     

Distributed receding horizon control of large-scale nonlinear systems: Handling communication delays and disturbances

This paper studies the robust distributed receding horizon control (DRHC) problem for large-scale continuous-time nonlinear systems subject to communication delays and external disturbances. A dual-mode robust DRHC strategy is designed to deal with the communication delays and the external disturbances simultaneously. The feasibility of the proposed DRHC and the stability of the closed-loop system are analyzed, and the sufficient conditions for ensuring the feasibility and stability are developed, respectively. We show that: (1) the feasibility is affected by the bounds of external disturbances, the sampling period and the bound of communication delays; (2) the stability is related to the bounds of external disturbances, the sampling period, the bound of communication delays and the minimum eigenvalues of the cooperation matrices; (3) the closed-loop system is stabilized into a robust invariant set under the proposed conditions. A simulation study is conducted to verify the theoretical results.     

An economic receding horizon optimization approach for energy management in the chlor-alkali process with hybrid renewable energy generation

This paper presents a methodology for the application of receding horizon optimization techniques to the problem of optimally managing the energy flows in the chlor-alkali process using a hybrid renewable energy system (HRES). The HRES consists of solar and wind energy generation units and fuel cells to supply energy. The HRES is also connected to the grid and allows for buying or selling electricity from and to the grid. Initially, detailed models of each system component are introduced as the basis for the simulation study. Energy management strategies are then developed to realize the objectives of meeting production requirements while minimizing the overall operating and environmental costs. Sensitivity and uncertainty analyses are carried out to elucidate the key parameters that influence the energy management strategies. Finally, production demand response is integrated into the proposed methodology.     

滚动轮胎表面对流换热的萘升华模拟研究

根据热质比拟的基本原理 ,采用萘升华技术 ,在风洞中利用直线运动的旋转圆盘模拟研究了滚动轮胎表面的对流换热系数。当风速为 14m·s- 1 时 ,轮胎表面对流换热系数与汽车行驶速度呈线性关系 ,随着汽车行驶速度的增大 ,轮胎表面对流换热系数也增大 ,其经验式为h =5 2 99+1 2 43 8v。     

Finite horizon optimal control of non-linear discrete-time switched systems using adaptive dynamic programming with ε-error bound

In this paper, we aim to solve the finite-horizon optimal control problem for a class of non-linear discrete-time switched systems using adaptive dynamic programming(ADP) algorithm. A new ε-optimal control scheme based on the iterative ADP algorithm is presented which makes the value function converge iteratively to the greatest lower bound of all value function indices within an error according to ε within finite time. Two neural networks are used as parametric structures to implement the iterative ADP algorithm with ε-error bound, which aim at approximating the value function and the control policy, respectively. And then, the optimal control policy is obtained. Finally, a simulation example is included to illustrate the applicability of the proposed method.     

Introducing robustness in model predictive control with multiple modelsand switching

Model predictive control is model-based. Therefore, the procedure is inherently not robust to modelling uncertainties. Further, a crucial design parameter is the prediction horizon. Only offline procedures to estimate an upper bound of the optimal value of this parameter are available. These procedures are computationally intensive and model-based. Besides, a single choice of this horizon is perhaps not the best option at all time instants. This is especially true when the control objective is to track desired trajectories. In this paper, we resolve the issue by a time-varying horizon achieved by switching between multiple model-predictive controllers. The stability of the overall system is discussed. In addition, an introduction of multiple models to handle modelling uncertainties makes the overall system robust. The improvement in performance is demonstrated through several examples.