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。     

教师企业实践对教学质量的改善

对于我国广大职业院校教师而言,不仅需要具有一定的教学能力,而且需要具备合格的实践能力,对自身的知识与技能不断更新,及时了解与扎实掌握行业企业先进的工艺与技术,在此基础上优化充实教学内容,强化教学质量,从而培养满足区域经济有效发展的高层次技术型人才。当前,教师企业实践已成为教师增强实践能力,掌握行业最新发展情况的一条必要途径。对此,文章将对教师企业实践提高教学质量的路径加以简要分析。     

基于分层次教学法的学习动力激发 ——以汽配专业《汽车电工电子技术基础》教学为例

在“互联网+”时代的到来,以及全民教育、终身学习的思想在全社会的推广,高职院校课堂教学重点应适应时代发展,向“激发学生内在学习动力,实现终身学习”的方向转变。根据教学经验,制定出针对不同层次学生的分层次教学方法,运用在日常教学活动中,最终通过该方法完成教学任务,实现教学目标。     

质子交换膜燃料电池催化剂研究进展

降低催化剂成本、提高催化剂性能是燃料电池汽车实现商业化的前提。本文结合质子交换膜燃料电池关键材料催化剂的现状,主要从铂基催化剂、其他贵金属催化剂和非铂基催化剂对质子交换膜燃料电池催化剂研究进展和热点进行分析及展望。     

面向高速公路车辆切入场景的自动驾驶测试用例生成方法

为在自动驾驶汽车基于场景的测试中生成涵盖相应场景中复杂多变的真实交通运行过程的测试用例,从highD数据集中提取车辆切入场景的多个实际样本,通过分析运动参数和参与车辆之间的位置关系,建立车辆切入场景的描述模型,根据切入点的碰撞时间评估该方案的风险程度,并结合描述模型中参数的分布,采用蒙特卡罗方法生成测试用例。结果表明,生成的车辆切入测试用例能够覆盖所有风险等级,可较好地支持自动驾驶测试。     

某新能源汽车复合材料前车门轻量化设计

本文以汽车前门作为研究对象,以碳纤维结构设计及铺层形式进行研究。经过仿真分析表明,碳纤维前车门的模态、刚度、强度都得到了明显的提升,在满足性能要求的基础上,重量得到了减轻,实现了轻量化的目的。     

Study on rail corrugation of a metro tangential track with Cologne-egg type fasteners

In Chinese metro lines, rail corrugation on both tangential and tight curved tracks with Cologne-egg type fasteners is very severe. Based on the viewpoint of friction-induced vibration causing rail corrugation, the rail corrugation on a tangential track with Cologne-egg type fasteners is studied in this paper. A vibration model of an elastic multiple-wheelset-track system with Cologne-egg type fasteners is established. Both the complex eigenvalue analysis and the transient dynamic analysis are performed to study the stability and the dynamic performance of the wheelset-track system. The simulation results show that a low rail support stiffness value is responsible for rail corrugation on the tangential track. When the Cologne-egg fasteners characterised by a lower stiffness value are replaced with the DTVI2 fasteners characterised by a higher stiffness value, rail corrugation disappears. However, rail corrugation on tight curved tracks cannot be suppressed using the same replacement. The above conclusions are consistent with the corrugation occurrences in actual metro tracks.     

基于IDM的需求扰动供应链协调契约研究

针对具有需求扰动风险的供应链协调问题，基于利益驱动机制，设计出一种新的保险契约模式，建立相应的供应链模型并求解分析。结果表明：均匀分布市场需求下赔偿上限应足够大，且契约参数满足相关条件时供应链可以达到完美协调。最后通过数值分析了赔偿参数对订货量和保费的影响。     

Mining evolving association rules for e-business recommendation

Association analysis is an effective data mining approach capable of unveiling interesting associations within a large dataset. Although widely adopted in e-business areas, it still has many difficulties when applied in practice. For instance, there is a mismatch between the static rules discovered and the drifting nature of the user interests, and it is difficult to detect associations from a huge volume of raw user data. This paper presents an effective approach to mine evolving association rules in order to tackle these problems. It is followed by a recommendation model based on the evolving association rules unveiled. Experimental results on an online toggery show that it can effectively unveil people’s shifting interests and make better recommendations accordingly.