登录
首页 » Others » 基于51单片机超声波测距毕业设计

基于51单片机超声波测距毕业设计

于 2020-12-09 发布
0 281
下载积分: 1 下载次数: 3

代码说明:

基于51单片机超声波测距毕业设计 基于51单片机超声波测距毕业设计 基于51单片机超声波测距毕业设计

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 索尼 imx274 datesheet
    imx274 datesheet,可以对接Hi3519V101,4K,分享一下SONYIMX274LQC-CAbsolute Maximum RatingsItemSymbolRatingsUnitSupply voltage(Analog)1ADD0.3to+3.3VSupply voltage(Digital 1)-0.5to+2.0Supply voltage(Digital 2)DDD20.5to+3.3VInput voltage(Digital)0.3toV。Dp+0.3VOutput voltage(Digital)-0.3toVD2+0.3Guaranteed operating temperature TOPR-30to+75°CStorage guarantee temperatureTSTG30to+80CPerformance guarantee temperature TsPEC10to+60Recommended Operating ConditionsItemSymbolRatingSupply voltage(Analog)VADD2.8±0.1Supply voltage(Digital 1)1.2±0.1VSupply voltage(Digital 2)1.8±0.1Input voltage(Digital)-0.1 to Vopp2+0.11 VADD: VDDSUB, VoDHCM, VoDHPX, VDDHDA, VDDHCP (2.8V power supplyVDDD1: VDDLCN, VDDLSC1 to 2, VDDLPA, VDDLPL1, VoDLPL2 to 3. VDDLIF (1.2V power supply)VDDD2: VDDMIO, VDDMIF (1.8V power supply)SONYIMX274LQC-CUSE RESTRICTION NOTICEThis USE RESTRIC TION NOTICE (Notice )is for customers who are considering or currently using theimage sensor products("Products")set forth in this specifications book. Sony Corporation Sony")mayat any time, modify this Notice which will be available to you in the latest specifications book for theProducts. You should abide by the latest version of this Notice. If a Sony subsidiary or distributor has itsown use restriction notice on the Products, such a use restriction notice will additionally apply betweerou and the subsidiary or distributor. You should consult a sales representative of the subsidiary ordistributor of sony on such a use restriction notice when you consider using the ProductsUse restrictionsThe Products are intended for incorporation into such general electronic equipment as office productscommunication products, measurement products, and home electronics products in accordance withthe terms and conditions set forth in this specifications book and otherwise notified by sony from timeYou should not use the Products for critical applications which may pose a life-or injury-threateningrisk or are highly likely to cause significant property damage in the event of failure of the products. Youshould consult your sales representative beforehand when you consider using the products for suchcritical applications. In addition, you should not use the products in weapon or military equipmentSony disclaims and does not assume any liability and damages arising out of misuse improper usemodification, use of the Products for the above-mentioned critical applications, weapon and militaryequipment, or any deviation from the requirements set forth in this specifications booklesign for SafetySony is making continuous efforts to further improve the quality and reliability of the products howeverfailure of a certain percentage of the products is inevitable. Therefore, you should take sufficient careto ensure the sate design of your products such as component redundancy, anti-contlagration featuresand features to prevent mIs-operation in order to avoid accidents resulting in injury or death fire orother social damage as a result of such failureExport ControlIf the Products are controlled items under the export control laws or regulations of various countriesapproval may be required for the export of the products under the said laws or regulationsYou should be responsible for compliance with the said laws or regulationsNo License Impliedo The technical information shown in this specifications book is for your reference purposes only. theavailability of this specifications book shall not be construed as giving any indication that sony and itscensors will license any intellectual property rights in such information by any implication or otherwiseSony will not assume responsibility for any problems in connection with your use of such information orfor any infringement of third-party rights due to the same. It is therefore your sole legal and financialresponsibility to resolve any such problems and infringementGoverning lawThis notice shall be governed by and construed in accordance with the laws of Japan, without referenceto principles of conflict of laws or choice of laws. All controversies and disputes arising out of or relatingto this Notice shall be submitted to the exclusive jurisdiction of the Tokyo district Court in Japan as thecourt of first instanceOther Applicable Terms and ConditionsThe terms and conditions in the Sony additional specifications, which will be made available to you whenyou order the Products, shall also be applicable to your use of the Products as well as to thisspecifications book. You should review those terms and conditions when you consider purchasingand/or using the ProductsGeneral-0.0. 8SONYIMX274LQC-CContentsDescription---FeaturesDevice structureOptical Black Array and Readout Scan Direction---Absolute Maximum Ratings2233Recommended Operating Conditions---------------USE RESTRICTION NOTICEContentsOptical CePin Configuration------------------Pin description-------------------------458899hen using csl-2When using Sub-LVDS1210 Equivalent Circuit Diagram15Peripheral Circuit19System OutlineWhen using CSl-2When using Sub-LVDSElectrical Characteristics when using cs1-2--------------------------m---------------------------------21. DC Characteristics(CS1-2)a.8..4Current Consumption and Gain Variable Range(CSl-2Supply Voltage and l/O Voltage(CS1-2)2. AC Characteristics(CS1-222INCK, XCLR(CSl-2)22XHS, XVS(Output)(CSI-2)22IC Communication (CSI-2)23DMCKP/DMCKN, DMO(CSl-2Electrical Characteristics When Using Sub-LVDs-------------------m--------------------------1. DC Characteristics(Sub-LVDs)……Current Consumption and gain Variable Range sub-LVDS24Supply Voltage and l/o Voltage(Sub-LVDSLVDS Output DC Characteristics(Sub-LVDS2. AC Characteristics ( Sub-LVDS).........25INCK, XCLR, XVS(input), XHS (input)(Sub-LVDS25Serial Communication(Sub-LVDS)Sub-LVDS Output(Sub-LVDS)26Spectral Sensitivity Characteristics(CS1-2 and Sub-LVDS27Image Sensor Characteristics(CSl-2 and Sub-LVDS)-281. Zone Definition of Image Sensor Characteristics28mage Sensor Characteristics Measurement Method(CSl-2 and Sub-LVDS)1. Measurement conditions2. Color Coding of this Image Sensor and Readout..293. Definition of Standard Imaging Conditions29Setting Registers Using I"C Communication(When Using CSl-2Description of Setting Registers When Using I C communication31Pin Connection of Serial Communication Operation Specifications When Using I"C CommunicationRegister Communication Timing When Using I-C Communication12C Communication Protocol32Register Write and Read33Single Read from Random Location33Single read from current location; iidaiaii:;aaaa“Sequential Read Starting from Random LocationSequential Read Starting from Current Location34Single Write to Random Location35Sequential Write Starting from Random Location35Register Value Reflection Timing to Output Data(CSl-2)36SONYIMX274LQC-CSetting Registers Using Serial Communication (When Using Sub-LVDS)----------------37Setting Registers Using Serial Communication(Sub-LVDS).37Register Value Reflection Timing to Output Data( Sub-LVDS38Register Map…391. Description of Register2. Register Setting for Each Readout Drive Modeeadout Drive Modes( csl-2 and Sub-LVDS)---------------------551. Readout drive modes552. Relationship between Arithmetic Processing and the Number of Output bits in Each Readout Drive ModeImage Data Output Format When Using CSI-2--------------------------58Frame Format (CSI-2)58Frame Structure(CSl-258Embedded Data Line(CSl-2)59CSl-2 serial Output Setting(CSl-2)MIPI Transmitter(CSl-2)62Detailed Specification of Each Mode(CSl-2)---------------631. Horizontal/ Vertical Operation Period in Each Readout Drive Mode(CSl-22. Frame Rate Adjustment(CSl-23. Image Data Output Format CSl-265Vertical Arbitrary Cropping Function(CSl-2)-69Horizontal Arbitrary Cropping Function(CSl-272Electronic Shutter Timing When Using CSI-2------741. SHR, SVR, SMD Setting When Using CSl-2741-1. SHR, SVR Setting(CSl-2)741-2. Electronic Shutter Drive Mode(Csl-2)752. Integration Time in Each Readout Drive Mode and Mode Changes When Using CSl-2762-1. Integration Time in Each Readout Drive Mode(CSl-2762-2. Operation when Changing the Readout Drive Mode(CSl-2772-3. Low Power Consumption Drive in Integration Time When Using Roll ing Shutter Operation(CSl-2)78Image Data Output Format When Using Sub-LVDS--791. Sync Signals and Data Output Timing(Sub-LVDS)““792. Output Range of LVDS Output Data(Sub-LVDS)Detailed Specification of Each Mode(Sub-LVDS)删mHorizontal/Vertical Operation Period in Each Readout Drive Mode(sub-LVDs)..........2. Frame Rate Adjus咖ment(Sub-LVDS)……3. Image Data Output Format ( Sub-LVDS)Vertical Arbitrary Cropping(Sub-LVDS)Horizontal arbitrary cropping function(Sub-LVDS)----m94Electronic Shutter Timing When Using Sub-LVDS961. SHR, SVR Setting(Sub-LVDS)...962. SVR Operation (Sub-LVDS3. Electronic Shutter Drive Mode( Sub-LVDS)974. Integration Time in Each Readout Drive Mode and mode changes When Using Sub-LVDS984-1. Integration Time in Each Readout Drive Mode(Sub-LVDS984-2. Operation when Changing the Readout Drive Mode(Sub-LVDS994-3. Recommended Global Reset Shutter Operation Sequence(Sub-LVDS)1004-4. Interruptive Mode Change(Sub-LVDS4-5. Low Power Consumption Drive in Exposure Time (Sub-LVDS)…102Power-on/off Sequence when using CSI-2---1031. Power-on Sequence(CS2)……1032. Slew Rate Limitation of Power-on Sequence( CSI-21033. Power-off Sequence(CSl-2104Standby cancel sequence when using csl-2--------------------------105Power-on/off Sequence when using Sub-LVDS1161. Power-on Sequence(Sub-LVDS)1062. Slew Rate Limitation of Power-on Sequence(Sub-LVDS).........1063. Power-off Sequence(Sub-LVDS)107Standby Cancel Sequence(Sub-LVDs)------------108SONYIMX274LQC-CSpot Pixel specifications--109Spot Pixel Zone Definition109Notice on White Pixels SpecificationsMeasurement Method for Spot Pixels1111. Black or white pixels at high light1112. White pixels in the dark.3. Black pixels at signal saturated111Spot Pixel Pattern Specifications----------------m---------------------------------------------------112Stain Specifications---113Stain Zone definition113Stain Measurement method.113Relation between Image height and target Cra-----Marking---------mm---------------115Notes on Handling116Package outline ---118List of Trademark Logos and Definition Statements-------------119SONYIMX274LQC-COptical Center(Top View)Package outline10.70±0.1mmPKG lpinM1A1Optical centerM1010See page TBD Package Outl ine" for detailsOptical CenterPin ConfigurationBottom View)lpin index6666δ画δ尚画○●Bottom viewQ§③¤¤意○○○○○○○○10○o⑦A b CE F GMPin configurationSONYIMX274LQC-CPin DescriptionWhen using CS1-2Pin descriptionState inSymbolOADRemarks(CS|-2Standby modeLeave openA2TEST4ATest(No connectionA3VDDHDa Power a Analog power supply (2.8V)A4VDD SUB PowerAnalog power supply(2.8VA5VDDLSC1PowerD Digital power supply(1.2v)A6VssLSC1GNDDDigital GND(1.2V)A7VDDLPL3 Power D Digital power supply (1.2 V)A8VDDLIFowerDigital power supply(1.2v)Leave openB1TEST5ATest(No connectionB2ssHDA GND A Analog GND (2.8V)B3BIASRESResister connectionB4/BGRCapacitor connectionB5GNDD Digital GND (1B6XCLRReset pulse inputB7VssLPL3GNDDigital GND (1.2VB8 VsSLIF1 GND D Digital GND (1.2V)B9DMO4NDigital MiPl outputLow LevelData lane 4connectionB10DMO4P。DDigital MIPl outputLow LevelData lane 4connectionC1TESt3TestLeave open(No connectionC2XCECannect to 1.8 V power supplyLeave openC3TEST1D(No connectionC4TEST2estLeave open(No connectionC5VDDLPAPowerDDigital power supply(1.2v)C6 VDDLPL2 Power D Digital power supply (1.2V)C7 VssLPL2 GND D Digital GND(1.2V)c9DMO2NDigital MIPl outputLow LevelData lane 2connectionData lane 2C10DMO2PDigital MIPl outputLow LevelconnectionD1XHSDDDDHorizontal sync signal outputIf unused xHsleave openD2SDOlest outputLow Leve/ Leave openNo connectionVertical sync signal outpuf unusedⅩVSDleave openD9DMCKND Digital MIPl outputLow LevelClock laneconnectionD10DMCKPDigital MIPl outputLow levelClock LaneconnectionE1SCLDDDc communication clock inputC communication dataE2SDAOinput/outputSONYIMX274LQC-CPinPin descriptionSymbolADState inRemarksNoCS-2Stand by modeE3VSSLCBGNDDigital GND(1.2 V)E8VssLlF2GNDDigital GND(1.2 V)E9DMO1NE10DMO1POFVDDLSC2 PowerF2VssLSC3 PowerDDDDDDADData lane 1Digital MIPl outputLow LevelconnectionData lane 1Digital MIPI outputLow LevelconnectionDigital power supply (1.2 V)Digital power supply (1.2 v)F3VopHCMPowerAnalog power supply(2.8 V)F8INCKInput clockDMO3NDigital MIPl outputData lane 3Low LevelconnectionF10 DMO3PData lane 3Digital MIPI outputLow LevelconnectionG3VssHCPGNDAAnalog GND (2.8V)G8VssLSC2 GND D Digital GND(1.2V)G9VssMIF2 GNDD Digital GND (1.8VG10VoDMIFPowerDDigital power supply (1.8V)H1VDDLCN GND D Digital GND(1.2V)VsSLCNGNDDigital GND (1.2 VH3VopHCPPowerAnalog power supply(2.8VDLO2P( Pin for Sub-LVDS)Leave open(No connectionH9DLO2M000(Pin for Sub-LVDS)Leave open(No connectiH10DLOOP(Pin for Sub-LVDS)Leave open(No connection)VssHPX3 GND AAnalog GND(2.8 V)J3VoDHPXPowerDLO3PADDDAADDAnalog power supply(2.8 V)(Pin for Sub-LVDS)Leave open(No connectionDLO3MO00(Pin for Sub-LVDS)Leave open(No connection)J10DLOOMD(Pin for Sub-LVDS)eave open(No connection)K2VssLPL 1GNDDDigital GND(1.2V)K3 VDDLPL1 Power D Digital power supply(1.2V)K4VoDMIO Power D Digital power supply(1.8V)K5DLO1M(Pin for Sub-LVDS)Leave open(No connectionDLCKM0b「(Pin for Sub-LVDS)Leave open(No connection)Leave openK7DLCKPD(Pin for Sub-LVDS(No connectionLeave openK8DLO9PD(Pin for Sub-LVDS)(No connectionLeave openK9DLO9M(Pin for Sub-LVDS)(No connectionK10DLO5P(Pin for Sub-LVDS)Leave openNo connection
    2020-12-11下载
    积分:1
  • 现代控制系统(matlab序)
    matlabb编写的现代控制系统程序,可为学习现代控制理论的学生参考,加深对理论的理解
    2020-12-11下载
    积分:1
  • 四步相移法 matlab
    四步相移法的matlab程序,自带相位解缠绕
    2020-07-01下载
    积分:1
  • 结构振动与动态子结构方法
    结构振动与动态子结构方法,一本专业性很强的书,如果你是学这方面的一定会很有帮助的
    2020-12-10下载
    积分:1
  • 【PDF】《Machine learning A Probabilistic Perspective》 MLAPP;by Kevin Murphy
    完整版,带目录,机器学习必备经典;大部头要用力啃。Machine learning A Probabilistic PerspectiveMachine LearningA Probabilistic PerspectiveKevin P. MurphyThe mit PressCambridge, MassachusettsLondon, Englando 2012 Massachusetts Institute of TechnologyAll rights reserved. No part of this book may be reproduced in any form by any electronic or mechanicalmeans(including photocopying, recording, or information storage and retrieval)without permission inwriting from the publisherFor information about special quantity discounts, please email special_sales@mitpress. mit. eduThis book was set in the HEx programming language by the author. Printed and bound in the UnitedStates of AmLibrary of Congress Cataloging-in-Publication InformationMurphy, Kevin Png:a piobabilistctive/Kevin P. Murphyp. cm. -(Adaptive computation and machine learning series)Includes bibliographical references and indexisBn 978-0-262-01802-9 (hardcover: alk. paper1. Machine learning. 2. Probabilities. I. TitleQ325.5M872012006.31-dc232012004558109876This book is dedicated to alessandro, Michael and stefanoand to the memory of gerard Joseph murphyContentsPreactXXVII1 IntroductionMachine learning: what and why?1..1Types of machine learning1.2 Supervised learning1.2.1Classification 31.2.2 Regression 83 Unsupervised learning 91.3.11.3.2Discovering latent factors 111.3.3 Discovering graph structure 131.3.4 Matrix completion 141.4 Some basic concepts in machine learning 161.4.1Parametric vs non-parametric models 161.4.2 A simple non-parametric classifier: K-nearest neighbors 161.4.3 The curse of dimensionality 181.4.4 Parametric models for classification and regression 191.4.5Linear regression 191.4.6Logistic regression1.4.7 Overfitting 221.4.8Model selection1.4.9No free lunch theorem242 Probability2.1 Introduction 272.2 A brief review of probability theory 282. 2. 1 Discrete random variables 282. 2.2 Fundamental rules 282.2.3B292. 2. 4 Independence and conditional independence 302. 2. 5 Continuous random variable32CONTENTS2.2.6 Quantiles 332.2.7 Mean and variance 332.3 Some common discrete distributions 342.3.1The binomial and bernoulli distributions 342.3.2 The multinomial and multinoulli distributions 352. 3.3 The Poisson distribution 372.3.4 The empirical distribution 372.4 Some common continuous distributions 382.4.1 Gaussian (normal) distribution 382.4.2Dte pdf 392.4.3 The Laplace distribution 412.4.4 The gamma distribution 412.4.5 The beta distribution 422.4.6 Pareto distribution2.5 Joint probability distributions 442.5.1Covariance and correlation442.5.2 The multivariate gaussian2.5.3 Multivariate Student t distribution 462.5.4 Dirichlet distribution 472.6 Transformations of random variables 492. 6. 1 Linear transformations 492.6.2 General transformations 502.6.3 Central limit theorem 512.7 Monte Carlo approximation 522.7.1 Example: change of variables, the MC way 532.7.2 Example: estimating T by Monte Carlo integration2.7.3 Accuracy of Monte Carlo approximation 542.8 Information theory562.8.1Entropy2.8.2 KL dive572.8.3 Mutual information 593 Generative models for discrete data 653.1 Introducti653.2 Bayesian concept learning 653.2.1Likelihood673.2.2 Prior 673.2.3P683.2.4Postedictive distribution3.2.5 A more complex prior 723.3 The beta-binomial model 723.3.1 Likelihood 733.3.2Prior743.3.3 Poster3.3.4Posterior predictive distributionCONTENTS3.4 The Dirichlet-multinomial model 783. 4. 1 Likelihood 793.4.2 Prior 793.4.3 Posterior 793.4.4Posterior predictive813.5 Naive Bayes classifiers 823.5.1 Model fitting 833.5.2 Using the model for prediction 853.5.3 The log-sum-exp trick 803.5.4 Feature selection using mutual information 863.5.5 Classifying documents using bag of words 84 Gaussian models4.1 Introduction974.1.1Notation974. 1.2 Basics 974. 1.3 MlE for an mvn 994.1.4 Maximum entropy derivation of the gaussian 1014.2 Gaussian discriminant analysis 1014.2.1 Quadratic discriminant analysis(QDA) 1024.2.2 Linear discriminant analysis (LDA) 1034.2.3 Two-claSs LDA 1044.2.4 MLE for discriminant analysis 1064.2.5 Strategies for preventing overfitting 1064.2.6 Regularized LDA* 104.2.7 Diagonal LDA4.2.8 Nearest shrunken centroids classifier1094.3 Inference in jointly Gaussian distributions 1104.3.1Statement of the result 1114.3.2 Examples4.3.3 Information form 1154.3.4 Proof of the result 1164.4 Linear Gaussian systems 1194.4.1Statement of the result 1194.4.2 Examples 1204.4.3 Proof of the result1244.5 Digression: The Wishart distribution4.5. 1 Inverse Wishart distribution 1264.5.2 Visualizing the wishart distribution* 1274.6 Inferring the parameters of an MVn 1274.6.1 Posterior distribution of u 1284.6.2 Posterior distribution of e1284.6.3 Posterior distribution of u and 2* 1324.6.4 Sensor fusion with unknown precisions 138
    2020-12-10下载
    积分:1
  • 全向轮运动平台pdf
    全向轮,全向移动2,3,4轮小车,变换矩阵。设李雅普诺夫函数为V1=;(x2+y2+0)求其导数如下,当渐进稳定时导数小于0Ⅵ1=xx+yy+ade =-kxre, yeke8上式系数为正时,李雅普诺夫函数的导数小于零,系统渐进稳定代入微分方程得到控制律如下:+ vr cos日a+k-xea+ v sin 8e t kyy+ke022差动轮直角坐标运动学方程差动轮与全向轮的区别是,全向轮小车速度方向与四个轮子的共同朝向相同可为仼意方向,而差动轮小车的切向速度方向与X轴重合,故方程中v=0微分方程如下v+v cos 0PRxet vr sin221差动轮直角坐标下控制律设计选择 Lyapunov函数如下:V2=(x2+y2)+(1k(-cosee对上式沿求导+-。sin6e cea-v+ vr cos ee)+yec-xew+ vr sin ge)D sin 0rev+xe vr cos 8e+yevr sin Be+rwr sin 0e -- sin 8 e11-Xev+xevr cos Be year sin 0e +Wrsin eeksinbe选择如下速度控制输入s。+kxxOrt vr(kye t kosine e)将上式代入 Lyapunov函数导数得到esin 2 0当上式系数为正时,V2≤0,故以上 Lyapunov函数选择正确。由此得到堪于运动学模型的轨迹跟踪速度控制律为2:os 8+lcV(kye t resin其中,k,kx,k为控制器参数。22.2控制器参数选取将控制律代入微分方程得下式(rt vr (lye t))xeRyexe(ar+ vr(kye t kesinee))+ vr sin Be-v (kye t kesinee)上式在零点附近线性化,忽略高次项得PR= ApA0Vrky -vr ke系数值与角速度和速度指令值共同决定系统根,当系数为正是所有根为负数。23对比仿真与结果仿真系统结果图如下ct(pea qle)p(7)elrorxPe, qe)图3轨迹跟踪结构图图中q(yo),v、o分别为移动机器人的线速度和角速度,ε1=(xy0)r,对于差动机器人运动学方程可表示为:COS日0Stn图中 J-sine0:pR=y):qa对于全向轮机器人运动学方程可表示为60sine cose ov=R(O)1 vy对角速度为0.2和线速度为5的圆形轨迹进行跟踪,仿真结果如下图:35302501510-5图4圆形轨迹跟踪仿真图图中×点线为差动轮跟踪轨迹,O点线为全向轮跟踪轨迹。、全向轮平台的设计对全向轮采用如下图所示的结构时,进行系统分析与设计图5互补型全向轮( omni wheels31运动学模型X图6全向轮式移动机器人运动学模型移动坐标X-Y固定在机器人重心上,而质心正好位于几何中心上。机器人P点在全局坐标系的位置坐标为:(x2y,0),三个全向轮以3号轮中心转动轴反方向所为机器人的ⅹ轴。假设三个全向轮完全相同,三个全向轮中心到车体中心位置的距离L。在移动坐标X-Y的速度用 1xe 1表示。由文献[3可得三个全间轮的速度与其在移动坐标和全局坐标系下的速度分量之间的关系分别为以下二式sin(60)xeV)=(-s(60os60)()=011-21-213×3ysin(60-0)Cos(60-6)sin(60+6)cos(60+6)Lysinecose32动力学模型在移动坐标X-Y中,设机器人在沿轴X2和Y方向上收到的力分别为Fx和Fyc第1、2、3号驱动轮提供给机器人的驱动力分别为f1、卫、3,机器人惯性转矩为M,根据牛顿第二定律可得到如下的动力学方程:3√3cos(30)-cos(30)01fFre=sin(30) sin (30)1ML2LTb22/2在地理坐标系X一Y下的方程如下:mxcos(30+0)-cos(30-0) sing 1fiFr= sin(30+0)sin(30-0)-cosefzL33基于动力学模型的控制器设计如上式所示,基于机器人动力学模型的控制方案,直接根据机器人的动力学模型设讣运动控制器,控制器的输出为机器人上驱动电机的驱动电压。基于动力学模型的控制方案,不需对驱动电机进行底层的速度控制,消除了底层速度控制带来的延时。由功力学方程:nmx3×3M」可知在休坐标系中各个方向上的控制输入输出是独立的并且相互之间无耦合;于是可在体坐标中对各个控制量分别进行控制。当以各个电机电压作为控制量U时,对体坐标系中各个方向上的控制量UF经过Ta3×3变换后得到各个电机的控制量UUF先对输入UF到体坐标各个方冋上速度V的系统等效参数[m′门进行辨识,得到由控制量UF到体坐标速度Ⅴ的传递函数:然后设计UF的控制器,经过变换后得到各电机的电压U;速度控制指令 1xe vye (l由第2节控制律求得。34基于编码器的位姿推算圆弧模型在文献L4中介绍机器人里程计圆弧模型是把移动机器人在运动过程中的实际轨迹通过圆弧去逼近234图7平台样品示意图YAYR11B(x12+11Un-1XAA(r()图8采样期间的圆弧运动轨迹图中A(xmy,0n)和B(xnx+1,yn+1,On+1)分别为在采样时问间隔内起始点与终点的位姿坐标,AB为采样期间的圆弧轨迹,利用图中儿何关系可以得到运动轨迹为圆弧时的推算公式如下L(△SR+△S少sin△SR-△Sn+1xn+6n+2(△sinenR△SL(ΔSR+△S△SYn+1=ynCOS+
    2020-06-06下载
    积分:1
  • 基于Lucene的小型搜索引擎
    毕业设计,数据是百度的音乐,Heritrix爬取下来的,页面解析后保存到本地的txt也可以保存到数据库里。然后建立索引,用jsp做界面交换。
    2020-12-02下载
    积分:1
  • 基于BP神经网络的自整定PID控制仿真
    基于BP神经网络的自整定PID控制仿真,经测试,可成功运行,放心下载!
    2020-12-05下载
    积分:1
  • SUSAN 角点检测 matlab代码
    SUSAN 角点检测 matlab代码.主代码是testSusan.m.若读入图像格式不对,请自行修改
    2020-12-05下载
    积分:1
  • 龙格库塔算法c++
    四节龙格库塔、改进欧拉
    2020-11-30下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载