系统辨识大牛Ljung编写的MATLAB系统辨识使用手册
系统辨识大牛Ljung编写的MATLAB系统辨识使用手册，这本书详细地介绍了在MATLAB已经所属simulink环境下，系统辨识工具箱的一些使用办法，是一本非常经典的教材！Revision Historypril 1988First printingJuly 1991Second printingMay1995Third printingNovember 2000 Fourth printingRevised for Version 5.0(Release 12)pril 2001Fifth printingJuly 2002Online onlyRevised for Version 5.0.2 Release 13)June 2004Sixth printingRevised for Version 6.0.1(Release 14)March 2005Online onlyRevised for Version 6.1.1Release 14SP2)September 2005 Seventh printingRevised for Version 6.1.2(Release 14SP3)March 2006Online onlyRevised for Version 6.1.3(Release 2006a)September 2006 Online onlyRevised for Version 6.2 Release 2006b)March 2007Online onlyRevised for Version 7.0 ( Release 2007a)September 2007 Online onlyRevised for Version 7.1 (Release 2007bMarch 2008Online onlyRevised for Version 7.2(Release 2008a)October 2008Online onlyRevised for Version 7.2.1 Release 2008b)March 2009Online onlyRevised for Version 7.3(Release 2009a)September 2009 Online onlyRevised for Version 7.3.1(Release 2009b)March 2010Online onlyRevised for Version 7. 4 (Release 2010a)eptember2010 Online onlyRevised for Version 7.4.1(Release 2010b)pril 2011Online onlRevised for Version 7.4.2(Release 2011a)September 2011 Online onlyRevised for Version 7.4.3(Release 2011b)March 2012Online onlyRevised for Version 8.0( Release 2012aabout the DevelopersAbout the Developersystem Identification Toolbox software is developed in association with thefollowing leading researchers in the system identification fieldLennart Ljung. Professor Lennart Ljung is with the department ofElectrical Engineering at Linkoping University in Sweden. He is a recognizedleader in system identification and has published numerous papers and booksin this areaQinghua Zhang. Dr. Qinghua Zhang is a researcher at Institut Nationalde recherche en Informatique et en Automatique(INria) and at Institut deRecherche en Informatique et systemes Aleatoires (Irisa), both in rennesFrance. He conducts research in the areas of nonlinear system identificationfault diagnosis, and signal processing with applications in the fields of energyautomotive, and biomedical systemsPeter Lindskog. Dr. Peter Lindskog is employed by nira dynamiAB, Sweden. He conducts research in the areas of system identificationsignal processing, and automatic control with a focus on vehicle industryapplicationsAnatoli Juditsky. Professor Anatoli Juditsky is with the laboratoire JeanKuntzmann at the Universite Joseph Fourier, Grenoble, france. He conductsresearch in the areas of nonparametric statistics, system identification, andstochastic optimizationAbout the developersContentsChoosing Your System Identification ApproachLinear model structures1-2What Are Model objects?Model objects represent linear systemsAbout model data1-5Types of Model objectsDynamic System Models1-9Numeric Models1-11umeric Linear Time Invariant (LTD Models1-11Identified LTI modelsIdentified Nonlinear models1-12Nonlinear model structures1-13Recommended Model Estimation Sequence1-14Supported Models for Time- and Frequency-DomainData,,,,,,,1-16Supported Models for Time-Domain Data1-16Supported Models for Frequency-Domain Data1-17See also1-18Supported Continuous-and Discrete-Time Models1-19Model estimation commands1-21Creating Model Structures at the command Line ... 1-22about system Identification Toolbox Model Objects ... 1-22When to Construct a Model Structure Independently ofEstimation1-23Commands for Constructing Model Structures1-24Model Properties1-25See als1-27Modeling Multiple-Output Systems ......... 1-28About Modeling multiple-Output Systems1-28Modeling Multiple Outputs Directly1-29Modeling multiple outputs as a Combination ofSingle-Output Models.......1-29Improving Multiple-Output Estimation Results byWeighing Outputs During Estimation ....... 1-30Identified linear Time-Invariant models1-32IDLTI Models1-32Configuration of the Structure of Measured and Noise oRepresentation of the Measured and noise Components foVarious model Types1-33Components ....1-35Imposing Constraints on the Values of ModeParameters1-37Estimation of Linear models1-8Data Import and Processing2「Supported Data ...2-3Ways to Obtain Identification DataWays to Prepare Data for System Identification ... 2-6Requirements on Data SamplingRepresenting Data in MATLAB Workspace·····Time-Domain Data Representation2-9Time-Series Data Representation2-10ContentsFrequency-Domain Data Representation ....... 2-11Importing Data into the Gui2-17Types of Data You Can import into the GUi2-17Importing time-Domain Data into the GUI2-18Importing Frequency-Domain Data into the GUI2-22Importing Data Objects into the GUI ......... 2-30Specifying the data sampling interval2-34Specifying estimation and validation Data2-35Preping data Using Quick StartCreating Data Sets from a Subset of Signal Channelo2-362-37Creating multiexperiment Data Sets in the gUi2-39Managing data in the gui ............. 2-46Representing Time- and Frequency-Domain Data Usingiddata object2-55iddata constructor2-55iddata Properties.........2-58Creating Multiexperiment Data at the Command Line .. 2-61Select Data Channels, I/O Data and Experiments in iddataObjects2-63Increasing Number of Channels or Data Points of iddataObjects2-67Managing iddata Objects2-69Representing Frequency-Response Data Using idfrdObiec2-76idfrd Constructor2-76idfrd Properties2-77Select I/o Channels and Data in idfrd Objects ..... 2-79Adding Input or Output Channels in idfrd Objects2-80Managing idfrd Objects2-83Operations That Create idfrd Objects2-83Analyzing Data quality2-85Is your data ready for modeling?2-85Plotting Data in the guI Versus at the command line2-86How to plot data in the gui2-86How to plot data at the command line2-92How to Analyze Data Using the advice Command2-94Selecting Subsets of Data2-96IXWhy Select Subsets of Data?2-96Extract Subsets of Data Using the GUI2-97Extract Subsets of data at the Command Line2-99Handling Missing Data and outliers2-100Handling missing data2-100Handling outliers2-101Extract and Model Specific Data Segments2-102See also2-103Handling offsets and Trends in Data2-104When to detrend data2-104Alternatives for Detrending Data in GUi or at theCommand-Line2-105Next Steps After detrending2-107How to Detrend Data Using the Gui2-108How to detrend data at the Command line2-109Detrending Steady-State Dat109cending transient Dat2-109See also2-110Resampling Data2-111What Is resampling?...,,.,,,,,,,,,,,.2-111Resampling data without Aliasing Effects2-112See also2-116Resampling data Using the GUi.,,,,2-117Resampling Data at the Command line2-118Filtering Data2-120Supported Filters2-120Choosing to Prefilter Your Data2-120See also2-121How to Filter Data Using the gui2-122Filtering Time-Domain Data in the GuI........ 2-122Content
- 2020-12-11下载
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四层电梯MCGS组态模拟
本资源利用MCGS组态软件来模拟实现四层电梯的控制，运行。PLC WORLD处理器为核心,综合了计算机控制、自动化、通讯网络等技术的一种通用的工业控制装置。PLC电梯控制系统有如下的特点:(1)、PLC是基于工业环境下设计的控制装置,环境适应性强,可靠性高;(2)、PLC最常用的编程语言是梯形图语言,编程语言形象、直观,编程筒单,便于广大现场工程技术人员掌握。(3)、門C控制系统的体积小,重量轻,便于安装,维修方便。(4)、PLC具有自诊断、故障报警、故种类显示等功能,可以方便的实时监视系统的运行状态。(5)、现代PLG具有传统控制系统无法比拟的远程数据传送、交换、控制和监枧的网络通讯功能。1.2系统结构和控制器选型电梯的PLC控制系统的结构如图1所示,主要硬件包括:可编控制器PL0、变频器、光电旋转编码器、轿厢操纵盘、厅外呼梯盘、门机及其他电气元件等。轿箱历外上位积操纵呼梯盘组态监控楼层显示申行接入部PLC部分串行接口2分门机编拽引机变频器码器图1系统结构图PLC WORLD1.3本次实习所选用的PLG机型?以及编程软件?S7-200可编程控制器是德国西门子公司研制的一种新型可编程控制器。它工作可靠,功能极其强大,存储容量大,编程方便,输出端可直接驱动2A的继电器或接触器的线圈,抗干扰能力强。因此,能够满足电梯对电气控制系统的要求。S7-200系列小型PG( MicroPL0)可应用于各种自动化系统。紧凑的结构,低廉的成本,强大的功能使得它成为各种小型控制任务的理想解决方案。在本次设计中,利用它编写控制一个四层楼电梯的控制系统分别完成轿厢内指令,厅外召唤指令,楼层位置指示,开门控制等任务STEP7WN32是S7-200系列的PLG编程软件,可以对S7-200的所有功能进行编程。该软件在 Windows平台上运行。其基本功能是协助用户完成应用软件任务。例如:创建用户程序,修改和编辑过程中编辑器具有简单的语法检查功能。还可以直接用软件设置PG的工作方式,参数和运行监控2.四层楼电梯模拟控制的设计控制要求(1)开始时,电梯处于任意一层。(2)当有外呼电梯信号到来是,轿厢响应该呼梯信号,达到该楼层时,轿厢停止运行,(轿厢门打开,延时3秒后自动关门)(3)当有内呼电梯信号到来是,轿厢响应该呼梯信号,达到该楼层时,轿厢停止运行,(轿厢门打开,延时3秒后自动关门)(4)在电梯轿厢运行过程中,即轿厢上升(或下降)途中,任何反PLC WORLD方向下降(或上升)的外呼信号均不响应,但如果反方向外呼梯信号前方再无其他内、外呼梯信号时,则电梯响应该外呼梯信号。例如,电梯轿厢在一楼,将要运行到三楼,在次过程中可以响应二层向上的外呼梯信号,但不响应二层向下的外哗梯信号。当到达三层,如果四层没有任何呼梯信号,则电梯可以响应三层向下外呼梯信号。否则,电梯将继续运行至四楼,然后向下运行响应三层向下外呼梯信号(5)电梯具有最远反向外呼梯功能。例如,电梯轿厢在一楼,而同时有二层向下呼梯,三层向下呼梯,四层向下外吇梯,则电梯轿厢先去四楼响应四层向下外呼梯信号。(6)电梯未平层或运行时,开门按钮和关门按钮均不起作用。平层且电梯轿厢停止运行后,按开门按钮轿厢开门,按关门按钮轿厢关门。3.I/0点的分配如下10.0S4四层内呼|10.7U1层上呼10.1S3层内呼11.0U2二层上呼10.2S2二层内呼11.1U3三次上呼10.3S1层内呼11.2SQ1层限位PLC WORLD10.4D4四层下呼11.3SQ2二层限位10.5D3层下呼11.4SQ3三层限位10.6D2二层下呼11.5SQ4四层限位Q0.0L4轿厢在四Q1.0SL2内呼二层层指示Q0.1L3轿厢在三Q1.1SL1内呼一层层指示Q0.2L2轿厢在二Q12外呼一层层上指示00.3L1轿厢在一Q1.3UP2外呼二层层上指示Q0.4DOWN轿厢上行Q1.4UP3外呼三层上指示Q0.5UP轿厢下行Q1.5DN2外呼二层下指示00.6sL4内呼四层Q1.6dn3呼三层指示下指示Q0.7内呼三层Q1.74外呼四层指示下指示4.PLC编程程序如下:4.1指令表:PLC WORLDsgLDsa22sq33sq1414Dsq0LD MO. 50MO. 4ALDLDSg2sq10MO. 5LDMO. 7M0. 6ALDOLDM2.0PLC WORLDsgdownLDMO. 7MO. 6ALDLD14sqdownM0. 6DMO. 5MO. 4ALDOLDM2.1MO. 2ANM3.0ownsq2sa3ANg4OLDPLC WORLDM3.3sg3sa2qAN MO. 5AMO. 7M2.0M3.3LDN MO. 2ANM2.7LDn sq 1AN213sqOLDM3.4g40sa3PLC WORLDsq200AAdownM0. 6MO. 3MO. 4LDM2.1M3.6OLDM3.4downd4sq4AL0ADd3sq3OLD20d22OLDusq
- 2020-07-02下载
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