人工势场法和蚁群算法在轨迹规划上的比较

本文基于静态环境信息,介绍了人工势场法和蚁群算法这两种在机器人路径规划中有效进化算法,并基于 MATLAB 平台的仿真结果,对比了两种算法的可行性和有效性。在简单的环境中人工势场法根据优势,解算快,占用计算资源少,计算效率高;而蚁群算法更适用于复杂的环境,通过迭代可以求得最优解,需要较多的计算资源。     

结蜡厚度对含蜡原油管道蜡沉积速率预测的影响

以铁岭-秦皇岛管道冬季输送大庆原油为算例,对考虑和不考虑已有沉积物对后续沉积速率影响这两种算法通过MATLAB软件编程进行对比。结果表明,两种算法蜡沉积速率的差异与相对结蜡厚度成线性关系,相对结蜡厚度越大,差异越大。通过进一步计算分析,明确了造成两种算法差异的主要原因是动力参数的变化。     

基于MATLAB的螺旋槽干气密封性能分析

基于穆特曼方程,以MATLAB计算干气密封性能参数,计算结果与实验数据、CFD软件模拟结果比较表明:MATLAB编程解决密封端面流场分析的方法可靠。为进一步研究螺旋槽干气密封端面压力分布规律,优化密封性能、提高运行稳定性提供了一种简单直观的方法。     

MATLAB与PLC相结合的模糊控制系统在加热炉温度控制中的应用

结合MATLAB在复杂运算方面的优势和PLC控制系统稳定、可靠的特点,针对加热炉温度控制设计了一套采用模糊控制算法的控制系统。     

MATLAB在反应器优化设计中的应用

反应器设计过程中,如何确定最佳的操作条件,使得设计方案既满足工艺要求,又能降低设备投资及产品成本是一个非常重要的问题.本文分别采用传统方法和MATLAB优化工具箱中的fminsearch命令,对具有循环操作的平推流反应器、全混流反应器与平推流反应器串联两种反应器进行了优化,得到了最佳的操作条件.与传统方法相比,MATLAB方法简便快捷,结果准确可靠.     

MATLAB仿真示功图在压缩机电耗分析中的应用

通过MATLAB仿真压缩机的各级示功图对比了压缩机的额定工况和实际工况,找到了压缩机的电耗组成和电耗浪费点,为压缩机的电耗分析提供了一种简单有效的方法。结果表明:1仿真所需的数据都基于已有的数据,不对压缩机进行任何改动,安全可靠;2通过MATLAB仿真找到的电耗浪费点接近实际工况。     

基于阈值开关模糊PID控制的直流电机调速系统

介绍直流调速系统工作原理,在分析模糊PID控制器原理的基础上,充分结合传统PD控制响应速度快和模糊PID控制精度高的特点,设计了一种阈值型模糊PID算法,应用于直流电机调速系统。通过在MATLAB/Simulink中与传统PID控制进行仿真分析对比,证明了这种算法的有效性。     

MATLAB与外部接口的应用研究

MATLAB是一种面向科学和工程计算的高级语言.它有着丰富的库函数,在进行复杂的数学运算时可以直接调用.用户可以根据需要方便地编写和扩充新的函数库.它以矩阵运算为基础,极少的代码即可实现复杂的功能.但是MATLAB的M文件作为一个文本文件,不利于算法的保密,而且访问硬件的能力差,执行效率也不高,这时候就需要研究MATLAB接口技术,通过外部程序来实现对MATLAB的调用.介绍了两种外部程序调用MATLAB的方法,即MTALAB计算引擎和MATLAB编译器.通过编写一个M文件,分别使用两种方法进行调用,并且对这两种方法性能、效率和发布的方便性等方面进行了比较.     

高层建筑人员定位系统

本文讲解了zigbee技术在高层建筑定位系统中的设计,其中包括参考节点,定位节点,网关等。利用MATLAB对三边测量法、三角形质心定位算法这两种定位算法进行仿真模拟,通过对定位算法的仿真模拟得知三角形质心定位算法的精确度相对比较高,将使用三角形质心定位算法作为该系统的定位算法。最后使用监控软件对该系统进行调试,测试其稳定性。测试结果最高精度可达1 m左右,其定位误差能控制在3 m以内,已大致满足高层建筑日常定位需求。     

三维荧光光谱分析中的平行因子算法的改进

针对平行因子算法在三维荧光光谱分析中存在的迭代缓慢、对组分数敏感的问题,提出一种优化迭代公式的改进算法。采用MATLAB编写平行因子改进算法程序,通过扫描自配置油类实验样品,获得三维荧光光谱图,用改进后的平行因子算法分析样品三维荧光数据,实现对样品组分识别,提高了分析结果的可靠度。     

基于COM技术的MATLAB与AsPen Plus接口及高级应用

基于COM技术研制开发了MATLAB和Aspen Plus的接口工具箱MAP,实现了在MATLAB环境下对Aspen Plus中数据进行读写操作,并控制模拟的运行.MAP接口将MATLAB计算能力和Aspen Plus的模拟能力结合在一起,扩展了Aspen Plus的高级应用.通过精馏塔进料软测量的示例,阐述了如何通过MAP接口来调用自主开发的禁忌搜索优化算法,解决由于Aspen Plus中的优化算法的局限性所无法实现的模拟与优化问题.     

Gravitational Search,Monkey, and Krill Herd Swarm Algorithms for Phase Stability,Phase Equilibrium,and Chemical Equilibrium Problems

Phase equilibrium calculations (PECs) and phase stability (PS) analysis of reactive and nonreactive systems problems are important for the simulation and design of chemical engineering processes. These problems, which are challenging, multi-variable, and non-convex, require optimization techniques that are both efficient and effective in finding the solution. Stochastic global optimization algorithms, especially swarm algorithms, are promising tools for such problems. In this study, monkey algorithm (MA), gravitational search algorithm (GSA), and Krill Herd algorithm (KHA) were used to solve PS, phase equilibrium, and chemical equilibrium problems. We have also studied the effect of adding a local optimizer at the end of the stochastic optimizer run. The results were compared to determine the strengths and weaknesses of each algorithm. When a local optimizer was used, MA was found to be a reliable algorithm in solving the problems. GSA had relatively the least numerical effort for all problems among the three algorithms but with low reliability. KHA was more reliable than other two algorithms without the use of a local optimizer. The performance of GSA, MA, and KHA was compared with firefly algorithm and cuckoo search (CS). In summary, this study found that CS algorithm was more reliable than the newly tested algorithms. Nevertheless, MA and GSA algorithms, when combined with a local optimizer, solve the thermodynamic problems as reliably and efficiently as CS.     

基于神经网络的污水处理厂水质预测模型

摘要该文针对污水处理厂进水水质变化及处理过程中具有非确定特性、不易精确控制等特点,充分利用神经网络模糊信息处理的优势,结合污水处理工艺过程,以MATLAB为研究平台建立一套具有3层神经网络结构的预测模型并进行仿真验证。结果表明该系统能够预测该污水处理厂12h后处理水质的状况,为运行管理提供可靠的数据支持,是一种预警处理水质的有效方法。     

人工湿地工艺处理农村生活污水

人工湿地系统是一种投资少、建设运营成本低、工艺简单的新型生态处理系统。文章介绍了人工湿地工艺处理农村生活污水的应用实例,监测数据表明该工艺成熟可靠,去除N、P能力强,出水各污染指标均能达到排放要求。证明了人工湿地工艺是一种适合农村污水处理的新型工艺,适合在农村推广应用。     

Separation performance investigation of packed distillation columns using simple NEQ approach based on packing multicomponent efficiencies and effective mass transfer coefficients

A simple non-equilibrium modeling approach is proposed to simulate multicomponent distillation process in packed columns. The real behavior of the column is simply considered by the evaluation of interphase mass transfer rate based on the overall mass transfer coefficient. Two distinct methods are used to calculate this overall coefficient including the effective mass transfer coefficient method and the packing efficiency method. The modelling procedure consists of an iterative segment-wise algorithm implemented in a MATLAB home-code. For verification, the obtained composition profiles from a structured and a random packed column are compared with reported experimental data. Comparisons show that the packing efficiency-based model could acceptably predict the experimental profiles with an average relative deviation of 18% and 25% for structured and random packed columns, respectively. This confirms that our simple non-equilibrium approach is a reliable and robust model for the performance evaluation of packed columns.     

Monte Carlo simulation of terpolymerization: Optimizing the simulation and post-processing times

Monte Carlo simulations are a useful and easy way to understand a polymerization reaction process properly. However, achieving reliable results with Monte Carlo simulations can also lead to prohibitive computational times and a considerable amount of data to be processed afterward. The present study analyses the Monte Carlo simulation of a steady-state terpolymerization process to reduce the overall computational time of the simulation and the post-processing of its results. Different sorting algorithms (Bubble, Insertion, Selection, and Tim) and Python libraries (Joblib and Numba) were used. The chain composition distribution and the micro-structures resultant of different scenarios were assessed by processing the simulated mechanism results. The simulation time results indicate the Tim sorting algorithm as the best to use in the post-processing step and the Numba library as the best suited for both the simulation and the post-processing step.     

Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms

In this work, two models, one integrating the fragment contribution-corresponding states (FC-CS) method with multiple linear regression (MLR) algorithm and another. With support vector machine (SVM) algorithm, are proposed to predict the viscosity of imidazolium-based ionic liquids (ILs). The FC-CS method is applied to calculate the pseudo-critical volume and compressibility factor (V_c and Z_c) as well as the boiling point temperature (T_b) which are employed to predict the viscosity with the MLR and SVM algorithms. A large data set of 1079 experimental data points of 45 imidazolium-based ILs covering a wide range of pressure and temperature is applied to validate the two models. The average absolute relative deviation (AARD) of the entire data set of the MLR and SVM is 24.2% and 3.95%, respectively. The nonlinear model developed by the SVM algorithm is much better than the linear model built by the MLR, which indicates the SVM algorithm is more reliable in the prediction of the viscosity of imidazolium-based ILs.     

井中地震数据中值滤波方法研究

探讨了中值滤波方法在井中地震数据处理的应用,进而改进研制了中值滤波算法。为了验证算法效果,设计了不同类型的井中地震合成地震记录上对该算法加以测试,并推广到实测井中地震记录上加以研究。结果表明;中值滤波算法能较好的进行滤波处理,对井中地震记录滤波效果较好,可以很好的分离出上行波。     

An adhesive bond strength prediction algorithm based on ultrasonic signal analysis

The problem of predicting adhesive bond defects for both surface preparation and undercure defects has been studied using an ultrasonic, experimental test bed system. This experimental test bed incorporates the ultrasonic and computer equipment necessary to acquire and process data from various types of adhesively bonded test specimens. The computer hardware and software have been developed to allow the design of reliable pattern recognition algorithms for the evaluation of surface preparation and bond cure. The specific problem studied is the inspection of the adhesive bond in an aluminium/aluminium step-lap joint whose strength could be affected by improper surface preparation or undercure. A set of 164 bond specimens was used to design an algorithm that is 91% reliable for separating the specimens into a good class, those bonds with no defects, or a week class, bonds with poor surface preparation on an undercured adhesive layer. A Fisher Linear Discriminant function was selected by the test bed as the best pattern recognition routine for this classification problem.     

MATLAB在化学工程与工艺实验数据处理中的应用

本文对MATLAB在化学工程与工艺实验中的应用进行了初步的尝试,传统的化工实验的数据处理是相当复杂的,需要花费大量的人力物力,由于化工实验需要平行实验,数据处理过程的重复性也非常大。借助MATLAB软件的应用,可以使人们从大量的数据处理当中解脱出来。本文以“化工原理”实验为例,利用MATLAB软件编写一个数据处理程序：只需输入任意一组原始数据,就可以把实验结果,数据模型以及作图一起显示出来。