某温度、湿度、振动综合试验箱智能控制及试验精度

介绍了某温度、湿度、振动综合试验箱（简称为“CERT”设备）系统核心智能控制系统,包括线性控制器PID、微处理器自整定控制器、自适应控制器、程序设定技术在环境试验中的应用、可控的循环气流风速确保试验精度。     

基于电动振动台的强化试验剖面参数计算与控制

在进行组件级产品振动试验时,传统试验方法存在产品的低阶振动模态激发能力较弱,试验结果重现性差,而采用低频特性优良的电动振动台及其控制仪进行应力加载则可克服RS机的缺陷.本文给出了基于电动振动台的随机振动试验剖面的数学描述,推导出应力量级和试验应力谱参数的解析关系,进而导出便于工程应用的剖面参数计算方法,并讨论了应力剖面的控制.最后在某导弹发射控制盒组件的振动强化试验中进行了应用,验证了该方法的有效性.     

新能源整车控制器试验参数测试系统设计

为了满足新能源整车控制器试验参数测试的要求,本文设计了一种包括上位机、控制模块组、资源分配盒及相关设备的测试系统,详细说明了测试系统硬件平台设计和系统软件设计.测试结果表明,该系统具有可靠、灵活、智能化程度高和适用性强的特点.     

基于PLC可编程序控制器的件数差压铸造电气控制系统设计

面对航空航天、国防和汽车等工业领域对复杂薄壁铸件的需求,本次研究了基于PLC可编程序控制器的件数差压铸造电气控制系统。该系统主要针对传统差压铸造电气控制系统资源利用率低、吞吐量性能差的问题,利用PLC控制器改善其性能。系统按照B/S结构将分为采集层、传输层以及主控层三个层次,首先利用采集层中的绝压传感器和表压传感器采集差压铸造设备中的压力值,并对其进行转换和滤波处理,然后将压力数据通过CAN总线传输到主控层当中,利用PLC可编程序控制器对数据进行分析、结果显示等,判断数值是否超过预设值,并根据结果利用调节阀进行相应的执行操作。结果表明:与传统差压铸造电气控制系统相比,基于PLC可编程序控制器的件数差压铸造电气控制系统的资源利用率更高,系统吞吐量性能更好。     

多输入多输出(MIMO)振动试验技术

多输入多输出(MIMO)振动试验由于可以更好的模拟产品的真实工作环境,是振动试验的一个发展方向。本文分析了其产生需求的根本原因,同时介绍了国内外的发展现状及其应用情况,之后对MIMO试验系统进行了分类,介绍了试验控制器和控制方法,并探讨了其工程实施所存在困难。最后针对我国MIMO试验技术的发展提出了建议,并对前景进行了展望。     

全弹结构振型斜率测试系统技术研究

振型斜率测试结果可以为弹的姿态控制提供必要的控制参数,同时可以有效校核弹敏感元件如速率陀螺的安装位置是否合适。弹结构的舱段局部变形对结构的振型斜率参数有较大影响,因此,弹进行全弹模态试验以获取振型斜率参数十分必要。本文以弹为研究对象,从振型斜率测量原理、振型斜率测量系统设计等方面,完成了通过速率陀螺测量指定点角速度和加速度计测量参考点加速度的振型斜率试验系统的研究,为后续类似试验提供技术参考。     

电器产品测试用供水系统的研制

本文介绍的是一种能为与水源连接的电器产品安全及性能测试提供高精度多参数供水系统的研制思路。本系统由PLC(可编程逻辑控制器)、模糊PID(管路及仪表布置图)调节仪、变频器、电动阀、计量泵等组成,实现了供水温度、压力、流量、电阻率、pH值、硬度等多参数的全自动控制。经实际测试,该供水系统各项参数均能达到标准规定的供水要求。     

汽车排放后处理器带热介质振动试验系统

介绍了汽车排放后处理器(EGP)产品特点及EGP带热介质振动试验系统研制的意义,叙述了该试验系统设计思路,根据需求介绍了各分系统设备的设计及选型情况,并对应用该系统进行的试验结果做了分析。     

一种新型周浸循环腐蚀试验箱的研制

本文介绍了研制的一种新型周浸循环腐蚀试验箱,该试验机采用可编程控制器控制试验箱的运行,实现了对试验条件的自动高精度控制,同时还能对试验数据进行自动采集和记录,大大提高了设备的运行稳定性,试验数据的可重复性好。本文主要对该试验机的组成、主要控制原理做了简单介绍。     

列车自动驾驶运行高可靠性控制优化方法设计

复杂交通情况下,列车调度不平衡,运行轨迹控制偏差较大,增加了制动和加速操作的频率,自动驾驶运行可靠性较低,由此,提出一种列车自动驾驶运行高可靠性控制优化方法。通过多智能体和图论相结合的方式,分析线路附加阻力和运输线路条件的关联度,设计多智能体列车群分布式信息交互过程,实时收集列车群运行状态控制参数,这些参数可以用来计算最短追踪间隔时间、最小运行能耗和最小运行轨迹控制偏差,用于构建目标函数。采用人群搜索算法对目标函数进行求解,通过分析追踪间隔时间有效性,优化全间隔标准调整以及运行参数,可以输出最优解,并在安全和乘客舒适度的约束条件下找到最佳的控制参数配置。实验测试结果证明,所提方法可以有效减少运行轨迹控制偏差,提高列车自动驾驶运行可靠性,获取满意的自动驾驶运行高可靠性优化结果。     

Integrated energy management strategy of powertrain and cooling system for PHEV

ABSTRACT

Energy management strategy (EMS) is crucial in improving the fuel economy of plug-in hybrid electric vehicle (PHEV). Existing studies on EMS mostly manage powertrain and cooling system separately which cannot get the minimum total energy consumption. This paper aims to propose a novel EMS for a new type of dual-motor planetary-coupled PHEV, which considers cooling power demand and effect of temperature on fuel economy. Temperature-modified engine model, lithium-ion battery model, two motors, and cooling system models are established. Firstly, the separated EMS (S-EMS) is designed which manages powertrain and cooling system separately. Sequentially, after the analysis of thermal characteristics of the powertrain and cooling system, the thermal-based EMS (T-EMS) is then proposed to manage two systems coordinately. In T-EMS, cooling power demand and the charging/discharging energy of motors are calculated as equivalent fuel consumption and integrated into the object function. Besides, a fuzzy controller is also established to deicide the fuel-electricity equivalent factor with consideration of the effect of temperature and state of charge on powertrain efficiency. Finally, the hardware-in-loop experiment is carried out to validate the real-time effect of EMS under the New European Driving Cycle. The result shows that cooling power demand and temperature can significantly affect the fuel economy of the vehicle. T-EMS shows better performance in fuel economy than S-EMS. The equivalent fuel consumption of the cooling system of T-EMS decreases by 27% compared with that of S-EMS. The total equivalent fuel consumption over the entire trip of PHEV using T-EMS is reduced by 9.7%.     

积分分离模糊PID控制器在高温湿热试验控制系统中的应用

PID算法是一个广泛应用于工业控制的算法,但它对大惯性、大延迟、多变量的湿热交变控制系统实现精确控温控湿显得较为困难。本文介绍了一种基于模糊控制规则的积分分离模糊PID控制器,当系统调节开始时由于系统误差较大,系统的控制主要由模糊PD控制来实现;当系统误差较小时加入积分控制环节,系统切换为模糊PID控制,并将其应用于高温湿热试验系统控制,结果表明这种方法比普通PID控制精度高、超调量小,特别是对大范围温湿的变化具有更好的适应性和稳定性。     

气压阀门控制器设计

详细介绍了气压阀门控制器的设计过程及仿真结果。该控制器采用倍压芯片进行±15 V供电设计,采用运放+数字电位器进行反馈和给定的调理电路设计,采用运放+电阻电容进行控制电路及驱动电路的设计。该控制器采用前馈控制器B(s)+偏差控制器A(s)对压力进行控制。文中给出了控制器的设计过程和仿真实验波形。从仿真波形的控制结果看,该控制器能够快速响应大偏差,根据偏差大小提前输出负压信号,并能进行稳态精度调节,实现快速准确调节气压的目的。     

An imprecise fuzzy risk approach for water quality management of a river system

Uncertainty plays an important role in water quality management problems. The major sources of uncertainty in a water quality management problem are the random nature of hydrologic variables and imprecision (fuzziness) associated with goals of the dischargers and pollution control agencies (PCA). Many Waste Load Allocation (WLA) problems are solved by considering these two sources of uncertainty. Apart from randomness and fuzziness, missing data in the time series of a hydrologic variable may result in additional uncertainty due to partial ignorance. These uncertainties render the input parameters as imprecise parameters in water quality decision making. In this paper an Imprecise Fuzzy Waste Load Allocation Model (IFWLAM) is developed for water quality management of a river system subject to uncertainty arising from partial ignorance. In a WLA problem, both randomness and imprecision can be addressed simultaneously by fuzzy risk of low water quality. A methodology is developed for the computation of imprecise fuzzy risk of low water quality, when the parameters are characterized by uncertainty due to partial ignorance. A Monte-Carlo simulation is performed to evaluate the imprecise fuzzy risk of low water quality by considering the input variables as imprecise. Fuzzy multiobjective optimization is used to formulate the multiobjective model. The model developed is based on a fuzzy multiobjective optimization problem with max–min as the operator. This usually does not result in a unique solution but gives multiple solutions. Two optimization models are developed to capture all the decision alternatives or multiple solutions. The objective of the two optimization models is to obtain a range of fractional removal levels for the dischargers, such that the resultant fuzzy risk will be within acceptable limits. Specification of a range for fractional removal levels enhances flexibility in decision making. The methodology is demonstrated with a case study of the Tunga–Bhadra river system in India.     

振动环境试验控制允差的剪裁应用

从工程应用的角度,本文分析讨论了GJB 150.16A对振动环境试验控制允差的要求。结果表明,GJB150.16A对控制允差的要求是灵活的,但是未规定RMS允差,容易造成过试验或欠试验,且对加速度谱密度的控制允差要求的表述存在着一定的模糊。文中给出了解决建议。     

Industrial experience of process identification and set-point decision algorithm in a full-scale treatment plant

This paper presents industrial experience of process identification, monitoring, and control in a full-scale wastewater treatment plant. The objectives of this study were (1) to apply and compare different process-identification methods of proportional-integral-derivative (PID) autotuning for stable dissolved oxygen (DO) control, (2) to implement a process monitoring method that estimates the respiration rate simultaneously during the process-identification step, and (3) to propose a simple set-point decision algorithm for determining the appropriate set point of the DO controller for optimal operation of the aeration basin. The proposed method was evaluated in the industrial wastewater treatment facility of an iron- and steel-making plant. Among the process-identification methods, the control signal of the controller's set-point change was best for identifying low-frequency information and enhancing the robustness to low-frequency disturbances. Combined automatic control and set-point decision method reduced the total electricity consumption by 5% and the electricity cost by 15% compared to the fixed gain PID controller, when considering only the surface aerators. Moreover, as a result of improved control performance, the fluctuation of effluent quality decreased and overall effluent water quality was better.     

MULTICRITERION DECISION MAKING FOR FLOOD CONTROL OPERATIONS: THEORY AND APPLICATIONS1

ABSTRACT: Flood control operations are generally complex in nature, as they are often associated with a large quantity of uncertain factors in combination of noncommensurable criteria. It has been found that the use of fuzzy set theory coupled with multicriterion decision making (MCDM) methods is very promising. In this paper, a multicriterion fuzzy recognition model is established for flood control operations. A subjective preference and iterative weights method is proposed for weight assessment. First, an initial solution of criteria weights, which is directly analyzed from the selected alternatives, is obtained by using the proposed fuzzy recognition model. Then, according to their knowledge related to real time flood operations, operators may modify the initial weights if necessary. When the relative membership grades of alternatives belonging to all rankings are fixed, a defuzzification equation is used to calculate the rank feature value vector. Based on the rank feature value vector, one can evaluate the alternative set. Two flood operation cases are provided to illustrate the application of the proposed model. With the incorporation of the operator's knowledge related to flood operations, the proposed model is flexible in giving weights and realizes more practical flood control operations.     

OPTIMUM DESIGN OF BORDER IRRIGATION SYSTEM1

ABSTRACT: Border irrigation systems like most of the other surface irrigation systems, do not need too much energy and special equipment. Thus, many farmers have used this system for a long time. On the other hand, design of surface irrigation systems including border irrigation requires many input parameters, and need intensive engineering calculations. The burden of these requirements probably led the users to experimental design of the systems with low efficiencies. However, accurate design and high quality optimization of the border irrigation system that can result in a highly efficient system is possible. In this study, an optimization model for border irrigation system is presented. The Hook Jeev's pattern search optimization method in conjunction with a general mathematical model of border irrigation is used to maximize the irrigation application efficiency. The border irrigation storage and distribution efficiencies, border slope and length, inflow rate, cutoff time, and the Manning's roughness coefficient are selected as constraints. The model is applied to field-measured data. The results show that it is possible to select a suitable combination of the border system's parameters (border's length, inflow rate, and cutoff time) to obtain a maximum application efficiency.     

基于FFTA城市燃气输配系统安全评估探讨

采用故障树分析方法对城市燃气输配系统的故障树模型进行定性和定量失效分析。针对系统的事件发生概率不确定情况,将模糊数学引入到故障树分析方法,给出了输配系统的模糊故障树安全评估方法。计算表明,该方法用于输配系统的安全评估是行之有效的。     

Application of digital technologies about water network in steel industry

To improve the efficiency of water use and reuse, a digitalized water network system was implemented in a steel industrial complex. The system consisted of four parts: online instrument and sensing devices, programmable logic controller, data communication network and control center based on expert knowledge. The system achieved real-time monitoring, diagnosis, and early warning of cooling water system using data collected inline, and enabled data connectivity and transmission of self-developed software applications on personal computer. This research used a steel enterprise as a case study. After the analysis of its cooling water system and water-saving potential using water balance test, a digitalized water network was evaluated and implemented, and we believe this network can be suitable for steel industry in general.