汽车连杆裂解设备裂解力矩和裂解速度的研究
|
摘要
连杆裂解工艺是分体类零件加工领域的新技术,具有高生产率、高产品量、低生产成本等优点。连杆裂解检测技术是裂解工艺的重要组成部分,是提高裂解技术的重要保证。
本文在对汽车发动机连杆裂解工艺深入分析的基础上,设计汽车连杆裂解电控系统及人机界面,在此基础上对计算机数据采集与处理技术进行了深入的研究。通过几种方案的对比,选择以计算机、数据采集卡、压力变送器组成检测系统硬件部分。软件部分采用VC++6.0和Matlab混合编程,开发数据采集与信号滤波系统的软件,对裂解力矩进行数据采集。并采用中断方式进行数据采集,解决了多线程技术解决数据采集与数据存储之间的问题。数据分析方面,通过对卡尔曼滤波及自适应滤波两种滤波方式的比较与仿真,最后选择基于自适应滤波理论的噪声对消器对采样信号进行滤波,提高了信号分析准确性。同时采用可编程控制器的高速计数模块及相应的脉冲输出功能构建裂解速度检测系统,设计相应的PLC程序和人机界面,通过调整比例控制系统的输出电流值改变裂解速度,进而改善裂解效果。
对裂解力矩及裂解速度的研究,为连杆裂解设备提供了理论与技术支持,对完善连杆裂解工艺具有实际意义。
The successful development of fracture splitting of engine automobile connecting rod has significance for automobile industry and engine industry at improving the level of production technology, saving money, increasing economic efficiency and enhancing the competitiveness of domestic and foreign markets. It will provide domestic manufacturers the technology of connecting rods fracture splitting detection with the current international advanced level. Fundamentally change the processing technology with traditional methods with the new technology put in practice and spread.
The technology of connecting rods fracture splitting detection is an important part of fracture splitting process. It is a great revolution for the fracture splitting connecting rod manufacture technology. And it is also an important guarantee of fracture splitting technology. Although the fracture splitting process is applied widely, the parameters of process is not easy get, just like pressure, speed, displacement and so on. It means the evaluation of product quality is lack theory basis. This paper has mainly researched a detection system to detect the splitting speed and the splitting force. The splitting speed and the splitting force are important parameters of fracture splitting process.
Because they are very important, we wish to develop an inspection and measurement system to guarantee them. So we can see the crack parameter and the dynamic curves directly, take the crack parameter data timely, build the detailed data files for the process. With the records we can analyze and study the data in real time. The operator can also monitor the parameter change timely. They can adjust it timely by the change and get the best crack technic parameter. They also can evaluate the stability of the crack process.
The main task and the achievement had been done as follows:
1. At first introduce sensor, the technology of data collection, PLC and Human-Machine Interface simply. The paper designs the control system of fracture splitting engine about automobile connecting rod basing on the request of technics. Complete the communications of PLC and Human-Machine Interface.
2. According to the campaign trend of the connecting rods in the fracture splitting process, design the program of detection system. The hardware is composed by pressure transmitter, data acquisition card, and computer.
3. Making use of VisualC++ 6.0 compile the program of data collection and processing software system, and finish the exploitation of the data collection interface, basing on windows system. Design data acquisition system by interruption. Solve the problem between high-speed real data acquisition and data storage by multithreading technology. Filter signals based on hybrid programming of VC and MATLAB through calling MATLAB engine and improve the reliability of signal detection.
4. Introduce the developing process of wave filtering theory simply and analyze the advantage of the Kalman filter applied in computer real-time processing. Based on this study discuss the Kalman filter is composed of the news process, measurement and filtering process corresponding to the process model, given a set of linear unbiased minimum mean square error of recursive formula. Research a method to realize the Kalman filter based on computer. At last discuss the instability of the Kalman filter and deside to change a better way of filtering
5. Introduce the developing process of adaptive filter theory simply. Expatiate the elementary theory and the application of adaptive filter in system identification, signal enhancement, noise cancellation and channel equalization. Mainly analyse the application of LMS adaptive filter in noise canceling and simulate the sine signal overlapped additive white noise. The simulation results prove that LMS adaptive filter has good effect at noise cancellation and can finish the task of digital filtering under certain conditions. By comparing and simulating Kalman filter and LMS adaptive filter, choose a noise canceller based on LMS adaptive filter finally.
6. Deduce the splitting speed formula and design the test method of splitting speed in the basis of analyzing the speed characteristics. Analyse and design the method of detecting the splitting speed. Collect the data of the splitting speed about three different periods by high-speed counting module. Receive the splitting speed of three periods with high-speed counting module by memorizing pulses. Compile the program of PLC and design Human-Machine Interface. Design the control system of proportional valve to make sure that fracture splitting can achieve the target requirements by adjusting the out current of the control system of proportional valve.
7. The splitting speed can not be got for various kinds of interference in scene and the error in pulse counting process, so that the measures to eliminate errors and more precise ways of calculating the pulse number to be taken. These works will be analyzed in further research.
Research on the detection system of fracture splitting machine is of great significance on automobile industry, engine industry, improve product quality and production technology. At the same time filled up the blank of the country, save money and impelling the industrialization course of the connecting rod manufacture technology.
本文在对汽车发动机连杆裂解工艺深入分析的基础上,设计汽车连杆裂解电控系统及人机界面,在此基础上对计算机数据采集与处理技术进行了深入的研究。通过几种方案的对比,选择以计算机、数据采集卡、压力变送器组成检测系统硬件部分。软件部分采用VC++6.0和Matlab混合编程,开发数据采集与信号滤波系统的软件,对裂解力矩进行数据采集。并采用中断方式进行数据采集,解决了多线程技术解决数据采集与数据存储之间的问题。数据分析方面,通过对卡尔曼滤波及自适应滤波两种滤波方式的比较与仿真,最后选择基于自适应滤波理论的噪声对消器对采样信号进行滤波,提高了信号分析准确性。同时采用可编程控制器的高速计数模块及相应的脉冲输出功能构建裂解速度检测系统,设计相应的PLC程序和人机界面,通过调整比例控制系统的输出电流值改变裂解速度,进而改善裂解效果。
对裂解力矩及裂解速度的研究,为连杆裂解设备提供了理论与技术支持,对完善连杆裂解工艺具有实际意义。
The successful development of fracture splitting of engine automobile connecting rod has significance for automobile industry and engine industry at improving the level of production technology, saving money, increasing economic efficiency and enhancing the competitiveness of domestic and foreign markets. It will provide domestic manufacturers the technology of connecting rods fracture splitting detection with the current international advanced level. Fundamentally change the processing technology with traditional methods with the new technology put in practice and spread.
The technology of connecting rods fracture splitting detection is an important part of fracture splitting process. It is a great revolution for the fracture splitting connecting rod manufacture technology. And it is also an important guarantee of fracture splitting technology. Although the fracture splitting process is applied widely, the parameters of process is not easy get, just like pressure, speed, displacement and so on. It means the evaluation of product quality is lack theory basis. This paper has mainly researched a detection system to detect the splitting speed and the splitting force. The splitting speed and the splitting force are important parameters of fracture splitting process.
Because they are very important, we wish to develop an inspection and measurement system to guarantee them. So we can see the crack parameter and the dynamic curves directly, take the crack parameter data timely, build the detailed data files for the process. With the records we can analyze and study the data in real time. The operator can also monitor the parameter change timely. They can adjust it timely by the change and get the best crack technic parameter. They also can evaluate the stability of the crack process.
The main task and the achievement had been done as follows:
1. At first introduce sensor, the technology of data collection, PLC and Human-Machine Interface simply. The paper designs the control system of fracture splitting engine about automobile connecting rod basing on the request of technics. Complete the communications of PLC and Human-Machine Interface.
2. According to the campaign trend of the connecting rods in the fracture splitting process, design the program of detection system. The hardware is composed by pressure transmitter, data acquisition card, and computer.
3. Making use of VisualC++ 6.0 compile the program of data collection and processing software system, and finish the exploitation of the data collection interface, basing on windows system. Design data acquisition system by interruption. Solve the problem between high-speed real data acquisition and data storage by multithreading technology. Filter signals based on hybrid programming of VC and MATLAB through calling MATLAB engine and improve the reliability of signal detection.
4. Introduce the developing process of wave filtering theory simply and analyze the advantage of the Kalman filter applied in computer real-time processing. Based on this study discuss the Kalman filter is composed of the news process, measurement and filtering process corresponding to the process model, given a set of linear unbiased minimum mean square error of recursive formula. Research a method to realize the Kalman filter based on computer. At last discuss the instability of the Kalman filter and deside to change a better way of filtering
5. Introduce the developing process of adaptive filter theory simply. Expatiate the elementary theory and the application of adaptive filter in system identification, signal enhancement, noise cancellation and channel equalization. Mainly analyse the application of LMS adaptive filter in noise canceling and simulate the sine signal overlapped additive white noise. The simulation results prove that LMS adaptive filter has good effect at noise cancellation and can finish the task of digital filtering under certain conditions. By comparing and simulating Kalman filter and LMS adaptive filter, choose a noise canceller based on LMS adaptive filter finally.
6. Deduce the splitting speed formula and design the test method of splitting speed in the basis of analyzing the speed characteristics. Analyse and design the method of detecting the splitting speed. Collect the data of the splitting speed about three different periods by high-speed counting module. Receive the splitting speed of three periods with high-speed counting module by memorizing pulses. Compile the program of PLC and design Human-Machine Interface. Design the control system of proportional valve to make sure that fracture splitting can achieve the target requirements by adjusting the out current of the control system of proportional valve.
7. The splitting speed can not be got for various kinds of interference in scene and the error in pulse counting process, so that the measures to eliminate errors and more precise ways of calculating the pulse number to be taken. These works will be analyzed in further research.
Research on the detection system of fracture splitting machine is of great significance on automobile industry, engine industry, improve product quality and production technology. At the same time filled up the blank of the country, save money and impelling the industrialization course of the connecting rod manufacture technology.
引文
[1]寇淑清,杨慎华等.内燃机连杆制造最新技术与发展趋势[J].内燃机工程,2001,22(1):28-3
[2]寇淑清,杨慎华等.连杆裂解加工新技术与装备[J].机械工人,2002,11:5-7
[3]杨慎华,寇淑清,古诤巍等.发动机连杆裂解加工新技术[J].Jun.,2000,Vol.32,No.3
[4]于永仁.连杆裂解工艺[J].汽车工艺与材料,1998,9:9-11
[5]Shinsaku Fukuda,Hirohito Eto.Development of fracture splitting connecting rod[J].JSAE Review 23(2002)101-104
[6]Roger Rabb.Fatigue of a connecting rod[J].Engineering Failure Analysis,Vol.1,pp-13-28,1996
[7]Q.Wang,Heb.A review of developments in the forging of connecting rods in China,Journal of Materials Processing Technology 151(2004) 192-195
[8]王秀玲,赵雁南,刘植桢.A/D D/A转换接口技术及数据采集系统设计[M].清华大学出版社,1984;
[9]C.E.Davila.Line search algorithm for adaptive filtering[J].IEEE Tran.on SP,VOI.41,1993.
[10]路康,张爱民.PC-16数据采集与处理系统[J].郑州轻工业学院学报,Vol.9,No.4
[11]于一军,夏秀峰,富刚等.拉力试验机数据采集与处理系统[J].沈阳航空工业学院学报,Vol.14,No.4,Dec 1997
[12]罗仕鉴,朱上上,孙守迁.人机界面设计[M].机械工业出版社,2002.8:2
[13]吕振中,夏青松,朱定强.微型计算机数据采集与处理的小型系统[J].推进技术,Feb.1994,No.1
[14]陈启安.软件人机界面设计[M].高等教育出版社,2004.2:12-16
[15]张亮,庄钊文,何松华.一种实时多路数据采集与处理系统[J].数据采集与处理,Vol.11 No.2Jun 1996
[16]张廷,魏殿杰,李晓明.基于Visual C++6.0和Matlab 6.0的电气开关状态检测和故障诊断的程序设计[J].测控技术,Vol.23 No.9 2004
[17]郭明金,姜德生等.油田集散控制中上位计算机与PLC的串行通讯[J].技术与应用传感器世界,2002.12
[18]许秀玲,汪晓东.传感器故障诊断方法研究[J].佛山科学技术学院学报,Vol.22 No.3 Sep.2004
[19]S Shankar Narayan,Allen M,P MJ Narsimaha.Transform domain LMS algorithm[J].IEEE TransASSP,1983,31(3):609-615.
[20]杨奕飞,华祖耀.面向对象的测控设备故障诊断专家系统的设计与实现[J].测控技术,Vol.34No.6 2004
[21]PCL-818HG User's Manual.Part No.2003000060 2nd Edition[J].Taiwan:September1994,,2-25
[22]PCL-818HG User's Manual.Part No.2003818070 2nd Edition[J].Taiwan:June1994,3-78
[23]WHITTAKER.D.The competition for automotivconnectin rod markets[J].Metal Powder and Articles,2005
[24]Power-Metal.forging.Connecting rods that crack by deaign[J].Mechanical Engineering,1991
[25]Anan,Tsuji,Keita.High strength lead free steels for fracture splitting connecting rods[J].Research and Development Kobe Steel Engineering Reports.2006,56(3):44-47
[26]彭惠民.汽车发动机用新材料[J].北京汽车,1994,3:33-41
[27]周昌林.粉末锻造连杆断裂技术的特点[J].汽车工艺与材料,1996(11):44
[28]《汽车工程手册》编辑委员会.汽车工程手册(摩托车篇)[M].北京:人民交通出版,2000
[29]杨慎华,寇淑清,古诤巍等.发动机连杆裂解加工新技术[J].2000,32(3):129-131
[30]俞志根,李天真.自动检测技术实训教程[M].北京:清华大学出版社,2004
[31]李桂燕.连杆裂解检测系统的研制和开发[D].长春:吉林大学材料学院,2007.
[32]王立宇.连杆裂解主机检测系统的研制[D].长春:吉林大学通信工程学院,2006.
[33]李文杰,于有生,杨荣伟.弧焊过程中PCL-818L数据采集卡的开发应用[J].武汉理工大学学报(交通科学与工程版),Vol.28 No.3June 2004
[34]高德香,朱玉珍,肖峰.二维光纤位移传感器的数据采集、处理和图形显示[J].测试技术学报,V61.12 No.3 1998(Sum No.25)
[35]S C Douglas.Analysis and implementation of the Max-N:MS adaptive filter[A].Proe.29th Asilomr Conf.Signals and Systs.ComPut[C].1995,1,Pacifie Grove,CA:659-663.
[36]T Aboulnasr,K Mayyas.Selective coeffieient update of gradient-based adaptive algorithms[J].Proe.ICASSP' 96,1996:1929-1932.
[37]Shi Zhongke.New Structure of Kalman Filter and Its Application to Target Tracking[J].Acta Automatic,1994,Sin,20(5):605-609
[38]HARRY L,VZN TREES.Detection,Estimation and Modulation Theory[J].Publishing House of Electronics Industry,2003:52-56
[39]张有为.高等学校教学参考书维纳与卡尔曼滤波理论导论[M].人民教育出版社,1980,7:142-210
[40]邓自立.卡尔曼滤波与维纳滤波:现代时间序列分析方法[M].哈尔滨工业大学出版社,2001,7:2-37
[41]S cott C Douglas.Adaptive filters employing partial updates[J].IEEE Trans.on CAS-Ⅱ Analog and digital signal proeessing.1997,44(3):209-216.
[42]Nurgun E,Filiz S.Wavelet transform based adaptive filter:analysis and new results[J].IEEE Transon SR1996,44(9):2163-2-65.
[43]宗孔德,胡广书.《信息、控制与系统》系列教材数字信号处理[M].清华大学出版社,2002,9:68-96
[44]S L Gay,S Tavathia.The fast affine Projection algorithm[J].Proc.ICASSP' 95,Detroit,1995:3023-3026.
[45]FARHAN A.FARRUGI,KENNETH J.TURNER..Extended Kalman Filter Synthesis for Integrated Global Positioning/Inertial Navigation Systems[J].Applied Mathematics and Computation.2000,115:213-227
[46]PETER D.HANLON,PETER S.Maybeck.Characterization of Kalman Filter Residuals in the Presence of Mismodeling[J].IEEE Translation on aerospace and electronic system.2000,1 Vol.36,No.1:114-130
[47]Joel Le Roux.An Introduction to Kalman filter[D].University of Nice Leroux.2003,3:90-109
[48]Noel Cressie,Christopher K.Wikle.Space-time Kalman filter[J].Encycolpedia of Environmetrics, Vol.4:2045-2049
[49]李正周.MATLAB数字信号处理与应用[M].清华大学出版社,2008
[50]张明友,吕明.近代信号处理理论与方法[M].国防工业出版社,2005
[51]何振亚.自适应信号处理[M].科学出版社,2002
[52]刘伟.传感器实训教程[M].南京:东南大学出版社,2003
[53]刘立柱.新世纪通信技术简明教程[M].北京:人民邮电出版社,2002
[54]游南林.用DDK开发Windows NT下的设备驰动程序[J].微型机与应用,1999,8:8-11
[55]A Zerguine,C F N Cowan,M Bettayeb.Novel LMS-LMF adaptive scheme for echo caneellation[J].Eleetronic Letter.1996,32(19):1776-1778.
[56]KA Mayyas,T Aboulnasr.The leaky LMS algorithm:MSE analysis for Gaussian Data[J].IEEE.Trans.on SP.1997,45:927-934.
[57]郭虹,艾延延,盛元生.数据采集预处理[M].北京:航空工业出版社,1999
[58]沈兰荪.数据采集技术[M].合肥:中国科学技术大学出版社,1990
[59]子继洲.集成A/D和D/A转换器应用技术[M].北京:国防科学技术出版社,1992
[60]詹宏英.数据采集与控制[M].哈尔滨:黑龙江科技出版社,1991
[61]D.J.Kruglinski.Visual C++技术内幕[M].清华大学出版社,1999,1
[62]沙定国.实用误差理论与数据处理[M].北京理工大学出版社,1993:8-70
[63]冉蜀阳,舒朝君.可编程控制器原理及应用[M].电子科技大学出版社,1988.8第三版:1-3
[64]S C Douglas.Efficient approximate implementations of the fast affine projection algorithm using orthogonal transforms.Proc.12CASSP' 96,Atlanta.1996:1657-1660.
[65]丁炜,魏孔平.可编程控制器在工业控制中的应用[M].化学工业出版社,2004.7:16-25
[66]丁玉美,高西全.数字信号处理[M].西安:西安电子科技大学出版社,2000
[67]程景云,倪亦泉.人机界面设计与开发工具[M].电子工业出版社,1994.9:43-44
[68]M Tanaka,Y Kaneda,S Makino,etal.A fast Projection algorithm for adapive filtering[J].IEICE Trans on Fundamentals of electronics,communieations and computer sciences.1995,E78-A(10):1355-1361.
[69]刘会勇,李伟,林勇刚等.基于自适应滤波的混凝土泵压力滤波方法研究[J].液压与气动,2008年第2期
[70]李毅.自适应滤波及滤波算法研究[D].西安:西北工业大学电子工程系,2003.
[71]郭华.自适应滤波算法及应用研究[D].甘肃:西北师范大学电子与信息工程学院,2007.
[72]王鲁彬,翟景春,熊华.
[73]J M Cioffi,T Kailath.Windowed fast transversal filters for recursive least squares adaptive filtering[J].IEEE Trans.onASSP.1985,33(3):607-625.
[74]G Carayannis,D G Manolakis,N KalouPtsidis.A fast sequential algorithm for least-squares filtering and prediction[J].IEEE Trans.ASSP.1983,31(6):1394-1402.
[75]B WIDROW.Adaptive Signal Processing[M].USA:Prentie-Halllne.1985.
[76]Gitlin R D,Weinstein S D.On the design of gradient algorithms for digitally implemented adaptive filters[J].IEEE TranS on CT,1973(2):125-136.
[77]S C Dougias.Performance comparison of two implementations of the leaky LMS adaptive filter[J].IEEE Trans.on SP,1997,45:2125-2129.
[78]M Dentino,J MeCool,B WindroW.Adaptive filtering in the frequency domain[J].Proc IEEE.1979,67:1658—1659.
[79]Gitlin R D,Weinstein S D.The effects of large interference on the tracking capability of digitally implemented echo cancellers.SSP' 87:2125—2128.
[2]寇淑清,杨慎华等.连杆裂解加工新技术与装备[J].机械工人,2002,11:5-7
[3]杨慎华,寇淑清,古诤巍等.发动机连杆裂解加工新技术[J].Jun.,2000,Vol.32,No.3
[4]于永仁.连杆裂解工艺[J].汽车工艺与材料,1998,9:9-11
[5]Shinsaku Fukuda,Hirohito Eto.Development of fracture splitting connecting rod[J].JSAE Review 23(2002)101-104
[6]Roger Rabb.Fatigue of a connecting rod[J].Engineering Failure Analysis,Vol.1,pp-13-28,1996
[7]Q.Wang,Heb.A review of developments in the forging of connecting rods in China,Journal of Materials Processing Technology 151(2004) 192-195
[8]王秀玲,赵雁南,刘植桢.A/D D/A转换接口技术及数据采集系统设计[M].清华大学出版社,1984;
[9]C.E.Davila.Line search algorithm for adaptive filtering[J].IEEE Tran.on SP,VOI.41,1993.
[10]路康,张爱民.PC-16数据采集与处理系统[J].郑州轻工业学院学报,Vol.9,No.4
[11]于一军,夏秀峰,富刚等.拉力试验机数据采集与处理系统[J].沈阳航空工业学院学报,Vol.14,No.4,Dec 1997
[12]罗仕鉴,朱上上,孙守迁.人机界面设计[M].机械工业出版社,2002.8:2
[13]吕振中,夏青松,朱定强.微型计算机数据采集与处理的小型系统[J].推进技术,Feb.1994,No.1
[14]陈启安.软件人机界面设计[M].高等教育出版社,2004.2:12-16
[15]张亮,庄钊文,何松华.一种实时多路数据采集与处理系统[J].数据采集与处理,Vol.11 No.2Jun 1996
[16]张廷,魏殿杰,李晓明.基于Visual C++6.0和Matlab 6.0的电气开关状态检测和故障诊断的程序设计[J].测控技术,Vol.23 No.9 2004
[17]郭明金,姜德生等.油田集散控制中上位计算机与PLC的串行通讯[J].技术与应用传感器世界,2002.12
[18]许秀玲,汪晓东.传感器故障诊断方法研究[J].佛山科学技术学院学报,Vol.22 No.3 Sep.2004
[19]S Shankar Narayan,Allen M,P MJ Narsimaha.Transform domain LMS algorithm[J].IEEE TransASSP,1983,31(3):609-615.
[20]杨奕飞,华祖耀.面向对象的测控设备故障诊断专家系统的设计与实现[J].测控技术,Vol.34No.6 2004
[21]PCL-818HG User's Manual.Part No.2003000060 2nd Edition[J].Taiwan:September1994,,2-25
[22]PCL-818HG User's Manual.Part No.2003818070 2nd Edition[J].Taiwan:June1994,3-78
[23]WHITTAKER.D.The competition for automotivconnectin rod markets[J].Metal Powder and Articles,2005
[24]Power-Metal.forging.Connecting rods that crack by deaign[J].Mechanical Engineering,1991
[25]Anan,Tsuji,Keita.High strength lead free steels for fracture splitting connecting rods[J].Research and Development Kobe Steel Engineering Reports.2006,56(3):44-47
[26]彭惠民.汽车发动机用新材料[J].北京汽车,1994,3:33-41
[27]周昌林.粉末锻造连杆断裂技术的特点[J].汽车工艺与材料,1996(11):44
[28]《汽车工程手册》编辑委员会.汽车工程手册(摩托车篇)[M].北京:人民交通出版,2000
[29]杨慎华,寇淑清,古诤巍等.发动机连杆裂解加工新技术[J].2000,32(3):129-131
[30]俞志根,李天真.自动检测技术实训教程[M].北京:清华大学出版社,2004
[31]李桂燕.连杆裂解检测系统的研制和开发[D].长春:吉林大学材料学院,2007.
[32]王立宇.连杆裂解主机检测系统的研制[D].长春:吉林大学通信工程学院,2006.
[33]李文杰,于有生,杨荣伟.弧焊过程中PCL-818L数据采集卡的开发应用[J].武汉理工大学学报(交通科学与工程版),Vol.28 No.3June 2004
[34]高德香,朱玉珍,肖峰.二维光纤位移传感器的数据采集、处理和图形显示[J].测试技术学报,V61.12 No.3 1998(Sum No.25)
[35]S C Douglas.Analysis and implementation of the Max-N:MS adaptive filter[A].Proe.29th Asilomr Conf.Signals and Systs.ComPut[C].1995,1,Pacifie Grove,CA:659-663.
[36]T Aboulnasr,K Mayyas.Selective coeffieient update of gradient-based adaptive algorithms[J].Proe.ICASSP' 96,1996:1929-1932.
[37]Shi Zhongke.New Structure of Kalman Filter and Its Application to Target Tracking[J].Acta Automatic,1994,Sin,20(5):605-609
[38]HARRY L,VZN TREES.Detection,Estimation and Modulation Theory[J].Publishing House of Electronics Industry,2003:52-56
[39]张有为.高等学校教学参考书维纳与卡尔曼滤波理论导论[M].人民教育出版社,1980,7:142-210
[40]邓自立.卡尔曼滤波与维纳滤波:现代时间序列分析方法[M].哈尔滨工业大学出版社,2001,7:2-37
[41]S cott C Douglas.Adaptive filters employing partial updates[J].IEEE Trans.on CAS-Ⅱ Analog and digital signal proeessing.1997,44(3):209-216.
[42]Nurgun E,Filiz S.Wavelet transform based adaptive filter:analysis and new results[J].IEEE Transon SR1996,44(9):2163-2-65.
[43]宗孔德,胡广书.《信息、控制与系统》系列教材数字信号处理[M].清华大学出版社,2002,9:68-96
[44]S L Gay,S Tavathia.The fast affine Projection algorithm[J].Proc.ICASSP' 95,Detroit,1995:3023-3026.
[45]FARHAN A.FARRUGI,KENNETH J.TURNER..Extended Kalman Filter Synthesis for Integrated Global Positioning/Inertial Navigation Systems[J].Applied Mathematics and Computation.2000,115:213-227
[46]PETER D.HANLON,PETER S.Maybeck.Characterization of Kalman Filter Residuals in the Presence of Mismodeling[J].IEEE Translation on aerospace and electronic system.2000,1 Vol.36,No.1:114-130
[47]Joel Le Roux.An Introduction to Kalman filter[D].University of Nice Leroux.2003,3:90-109
[48]Noel Cressie,Christopher K.Wikle.Space-time Kalman filter[J].Encycolpedia of Environmetrics, Vol.4:2045-2049
[49]李正周.MATLAB数字信号处理与应用[M].清华大学出版社,2008
[50]张明友,吕明.近代信号处理理论与方法[M].国防工业出版社,2005
[51]何振亚.自适应信号处理[M].科学出版社,2002
[52]刘伟.传感器实训教程[M].南京:东南大学出版社,2003
[53]刘立柱.新世纪通信技术简明教程[M].北京:人民邮电出版社,2002
[54]游南林.用DDK开发Windows NT下的设备驰动程序[J].微型机与应用,1999,8:8-11
[55]A Zerguine,C F N Cowan,M Bettayeb.Novel LMS-LMF adaptive scheme for echo caneellation[J].Eleetronic Letter.1996,32(19):1776-1778.
[56]KA Mayyas,T Aboulnasr.The leaky LMS algorithm:MSE analysis for Gaussian Data[J].IEEE.Trans.on SP.1997,45:927-934.
[57]郭虹,艾延延,盛元生.数据采集预处理[M].北京:航空工业出版社,1999
[58]沈兰荪.数据采集技术[M].合肥:中国科学技术大学出版社,1990
[59]子继洲.集成A/D和D/A转换器应用技术[M].北京:国防科学技术出版社,1992
[60]詹宏英.数据采集与控制[M].哈尔滨:黑龙江科技出版社,1991
[61]D.J.Kruglinski.Visual C++技术内幕[M].清华大学出版社,1999,1
[62]沙定国.实用误差理论与数据处理[M].北京理工大学出版社,1993:8-70
[63]冉蜀阳,舒朝君.可编程控制器原理及应用[M].电子科技大学出版社,1988.8第三版:1-3
[64]S C Douglas.Efficient approximate implementations of the fast affine projection algorithm using orthogonal transforms.Proc.12CASSP' 96,Atlanta.1996:1657-1660.
[65]丁炜,魏孔平.可编程控制器在工业控制中的应用[M].化学工业出版社,2004.7:16-25
[66]丁玉美,高西全.数字信号处理[M].西安:西安电子科技大学出版社,2000
[67]程景云,倪亦泉.人机界面设计与开发工具[M].电子工业出版社,1994.9:43-44
[68]M Tanaka,Y Kaneda,S Makino,etal.A fast Projection algorithm for adapive filtering[J].IEICE Trans on Fundamentals of electronics,communieations and computer sciences.1995,E78-A(10):1355-1361.
[69]刘会勇,李伟,林勇刚等.基于自适应滤波的混凝土泵压力滤波方法研究[J].液压与气动,2008年第2期
[70]李毅.自适应滤波及滤波算法研究[D].西安:西北工业大学电子工程系,2003.
[71]郭华.自适应滤波算法及应用研究[D].甘肃:西北师范大学电子与信息工程学院,2007.
[72]王鲁彬,翟景春,熊华.
[73]J M Cioffi,T Kailath.Windowed fast transversal filters for recursive least squares adaptive filtering[J].IEEE Trans.onASSP.1985,33(3):607-625.
[74]G Carayannis,D G Manolakis,N KalouPtsidis.A fast sequential algorithm for least-squares filtering and prediction[J].IEEE Trans.ASSP.1983,31(6):1394-1402.
[75]B WIDROW.Adaptive Signal Processing[M].USA:Prentie-Halllne.1985.
[76]Gitlin R D,Weinstein S D.On the design of gradient algorithms for digitally implemented adaptive filters[J].IEEE TranS on CT,1973(2):125-136.
[77]S C Dougias.Performance comparison of two implementations of the leaky LMS adaptive filter[J].IEEE Trans.on SP,1997,45:2125-2129.
[78]M Dentino,J MeCool,B WindroW.Adaptive filtering in the frequency domain[J].Proc IEEE.1979,67:1658—1659.
[79]Gitlin R D,Weinstein S D.The effects of large interference on the tracking capability of digitally implemented echo cancellers.SSP' 87:2125—2128.