Guaranteed Cost Iterative Learning Control for Multi-Phase Batch Processes

Batch process is a typical multi-phase process. Due to the interaction between the phases of the batch process, high precision control in a single phase cannot guarantee high precision control of the whole batch process. In order to solve this problem, the guaranteed cost iterative learning control (ILC) of multi-phase batch processes is studied in this paper. Firstly, through introducing the output error, the state error and the extended information, the multi-phase batch process is transformed into an equivalent 2D switched system which has different dimensions. In addition, under the measurable condition, the guaranteed cost iterative learning control law with extended information is designed. The proposed control law ensures not only the stability of the system but also the optimal control performance. Next, in order to study the stability of the system and the minimum running time under the condition of stable running, the multi-Lyapunov function method is used. By means of the average dwell time method, the sufficient conditions ensuring system to be exponentially stable are given in the form of linear matrix inequality (LMI). Finally, the injection molding process is taken as an example to make simulation, which shows the feasibility and effectiveness of the proposed method.     

汽车自动变速器阀体阀芯孔内壁面质量检测系统的研发

针对汽车自动变速器阀体的自动化加工质量检测,本文中提出了一套基于工业内窥镜拍摄的自动化检测系统设计方案。该方案融合机械、电控、视觉、软件等多个模块,以实现自动化视觉检测;并进行系统关键部分的原型研发及拍摄测试。结果表明,系统能够有效完成阀孔内壁面的完整图像拍摄和缺陷特征提取,有助于提高检测精度,且数据整理方便,有助于提升工厂的自动化水平。     

迈腾轿车加速不良故障检修

发动机加速不良的原因很多,既有油路方面的原因,也有电路方面的原因,还有进、排气系统方面的原因。本文主要以电控发动机工作原理和维修实例为依据,分析迈腾1.8 TSI手自一体轿车由于排气管堵塞造成加速不良的诊断思路、方法、步骤。     

Forecasting automobile sales: the Peña-Box approach

As a response to growing concerns regarding the call for clean energy and its impact on future automobile sales, this study uses a classical factor model and the Peña-Box model to examine the contemporary and time-varying relationships of different brands/models of cars in Taiwan between 2003 and 2007. In this paper, we demonstrate the complementary characteristics of these two analytical and forecasting methods. The results confirm that these two models can derive equally important but different information from the same time series data. Furthermore, the models are a useful marketing tool for discovering the current preferences of car purchasers, as well as their preference changes over time.     

通用型工业机器人附加轴导轨优化设计

在汽车制造涂装车间,为提升制造车间的智能化水平和柔性化水平,工业机器人系统装备被大规模使用。附加轴导轨是机器人系统装备集成及应用的一个重要组成部分。为了对已有常用附加轴导轨进行结构优化,主要通过分析现有附加轴导轨结构形式、新型附加轴导轨设计及理论分析2个方面进行阐述,提出了一种新型结构设计形式,该附加轴导轨设计使用寿命超过2.02万小时,设计行走里程超过1.45万公里,对于内部结构防护性能较好,满足涂装车间复杂的工作使用环境。     

赛车轮毂多功能集成化设计新方法

由于传统制造工艺在复杂曲面和集成化加工的局限性,导致方程式赛车轮毂的多功能集成化一直被制约,以至于传统赛车轮毂总成普遍存在体积硕大、重量大、传动效率低等问题。文章基于集成化设计原则,在保留传统赛车轮毂总成所需功能的前提下,改变赛车外球笼、轮毂、轮辐等的结构以进行集成化设计从而得到多功能集成化赛车轮毂。所获得的集成化赛车轮毂体积重量明显减小且传动效率明显提高,达到了通过集成化以实现轻量化的目标。     

浅谈混凝土桥梁火灾后检测评估要点

结合某座桥梁火灾后的情况,具体阐述了火灾后桥梁的检测评估内容、过程及注意要点,为规范类似桥梁结构火灾后的检测鉴定工作提供借鉴及参考.     

郑州某地铁车站深基坑降水方案设计

结合郑州地区某地铁车站的工程地质和水文地质条件,选取合适的基坑降水参数,进行车站基坑降水方案设计,保证基坑工程的安全施工,并将止水帷幕与管井相结合的降水方式在郑州类似工程进行推广应用。     

基于混沌递进预测模型与趋势检验的深基坑变形规律研究

为提高基坑变形预测精度及稳定性,首先,利用遗传算法优化BP神经网络的结构参数,再将参数优化后的BP神经网络与灰色模型结合,构建出GA-BP神经网络模型,并利用该模型实现基坑变形序列的初步预测; 其次,基于残差序列的混沌特性,再利用混沌理论进行残差优化,进一步构建考虑混沌特性优化的GA-BP神经网络模型; 最后,将SR检验引入到基坑变形趋势判断中,以检验预测结果的准确性。实例检验表明： 通过遗传算法及混沌理论的递进优化,能逐步提高预测精度,验证文章预测模型的有效性,且预测结果与SR检验结果的一致性较好,说明该预测模型的可信度高。