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Thematische Bibliographien / Microcomputer control / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Microcomputer control“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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1

Zhu, Jie, Wei Qiong Xiong, Wei Hua Zhang, Wen Hang Li und Jia You Wang. „A Digital Control for Swinging Arc Narrow Gap MAG Welding System“. Applied Mechanics and Materials 468 (November 2013): 127–33. http://dx.doi.org/10.4028/www.scientific.net/amm.468.127.

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This paper presents a digital control system for swinging arc narrow gap MAG welding based on double single-chip microcomputers. The control system utilizes a single-chip microcomputer to set and display welding process parameters, and then uses another single-chip microcomputer to realize the control functions that are necessary for the swing arc process, in which the two single-chip microcomputers can exchange data through asynchronous serial communication circuit. Experimental results show that the control system works stably and reliably with strong anti-interference capabilities, and can completely satisfy the requirements of swinging arc narrow gap welding process.

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2

Shriberg, Lawrence D., Joan Kwiatkowski und Tereza Snyder. „Articulation Testing by Microcomputer“. Journal of Speech and Hearing Disorders 51, Nr. 4 (November 1986): 309–24. http://dx.doi.org/10.1044/jshd.5104.309.

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The picture naming articulation test, one of the most widely used speech assessment procedures, provides an excellent paradigm to study the potential of microcomputers with young, speech involved children. The stimulus-response format of the articulation test is structurally similar to assessment and management procedures crossing the spectrum of speech disorders. Findings from three studies comparing booklet-presented pictures to microcomputer-presented graphics indicate that microcomputers have certain control advantages in motivating children's repeated trials. However, spontaneous articulation testing by microcomputer may take more time than booklet testing if the graphics are less readily identifiable and due to associated novelty effects. Discussion of findings includes suggestions for enhancing the client-clinician-computer interface as this discipline experiences the entry of microcomputers into the speech-language clinic.

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3

Zhang, Zhi Chun, Song Wei Li, Wei Ren Wang, Wei Zhang und Li Jun Qi. „Single Chip Microcomputer Cluster Management“. Advanced Materials Research 933 (Mai 2014): 584–89. http://dx.doi.org/10.4028/www.scientific.net/amr.933.584.

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This paper presents a system in which the cluster devices are controlled by single-chip microcomputers, with emphasis on the cluster management techniques of single-chip microcomputers. Each device in a cluster is controlled by a single-chip microcomputer collecting sample data sent to and driving the device by driving data received from the same cluster management computer through COMs. The cluster management system running on the cluster management computer carries out such control as initial SCM identification, run time slice management, communication resource utilization, fault tolerance and error corrections on single-chip microcomputers. Initial SCM identification is achieved by signal responses between the single-chip microcomputers and the cluster management computer. By using the port priority and the parallelization of serial communications, the systems real-time performance is maximized. The real-time performance can be adjusted and improved by increasing or decreasing COMs and the ports linked to each COM, and the real-time performance can also be raised by configuring more cluster management computers. Fault-tolerant control occurs in the initialization phase and the operational phase. In the initialization phase, the cluster management system incorporates unidentified single-chip microcomputers into the system based on the history information recorded on external storage media. In the operational phase, if an operation error of reading and writing on a single-chip microcomputer reaches a predetermined threshold, the single-chip microcomputer is regarded as serious fault or not existing. The cluster management system maintains accuracy maintenance database on external storage medium to solve nonlinear control of specific devices and accuracy maintenance due to wear. The cluster management system uses object-oriented method to design a unified driving framework in order to enable the implementation of the cluster management system simplified, standardized and easy to transplant. The system has been applied in a large-scale simulation system of 230 single-chip microcomputers, which proves that the system is reliable, real-time and easy to maintain.

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4

Vašek, Vladimír. „Microcomputer Control Unit“. IFAC Proceedings Volumes 33, Nr. 1 (Februar 2000): 65–70. http://dx.doi.org/10.1016/s1474-6670(17)35588-x.

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5

Miyamoto, Hiroyuki. „Powered Orthosis for Lower Limbs -Its Structure and Control-“. Journal of Robotics and Mechatronics 5, Nr. 5 (20.10.1993): 443–47. http://dx.doi.org/10.20965/jrm.1993.p0443.

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This paper describes a powered orthosis for lower limbs which restores the gait of locomotion of disabled persons, such as paraplegics, with its structure and control as well as its clinical experiments. The powered orthosis supports the patient's weight, and it has four electrohydraulic digital actuators to motorize hip and knee joints, as well as sensors to detect joint angles and plantar contacts. Each joint angle is controlled by a microcomputer such that an appropriate gait pattern is restored for a stable, powered level walk. This second prototype of the powered orthosis has been designed and developed for testing on patients in order to determine its effectiveness. For the control of this orthosis, the gait pattern is generated by a 16-bit master microcomputer using the preprogrammed pattern which is synthesized with 20 parameters; six 8-bit slave microcomputers measure and control joint angles. A new type of digital actuator was developed specifically for this purpose. In addition, a desktop microcomputer is used for the change of parameters as well as for the dialogue with the master computer. The orthosis weighs only 19.5kg, and the hydraulic power unit 68kg. Clinical experiments of this prototype are conducted on two paraplegics. A powered walk of 6.0 sec/step is realized for the first time, and then 4.5 sec/step for approximately 10 meters.

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6

Sparkes, Bob. „Microcomputer control in schools“. Electronics Education 1991, Nr. 3 (1991): 11–12. http://dx.doi.org/10.1049/ee.1991.0033.

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7

Highland, Esther H. „Microcomputer security and control“. Computers & Security 7, Nr. 3 (Juni 1988): 326. http://dx.doi.org/10.1016/0167-4048(88)90080-6.

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8

Blum, M., P. Metcalf, S. C. Harrison und D. C. Wiley. „A system for collection and on-line integration of X-ray diffraction data from a multiwire area detector“. Journal of Applied Crystallography 20, Nr. 3 (01.06.1987): 235–42. http://dx.doi.org/10.1107/s0021889887086783.

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A system for collecting and measuring X-ray diffraction data from protein crystals has been developed for a multiwire area detector. Computer programs run concurrently on two microcomputers, which collect and reduce detector data to integrated intensities. The self-contained system consists of an X-ray area detector, a rotation/oscillation camera, and two microcomputers connected by a high-speed Ethernet network. One microcomputer is dedicated to operation of the detector, control of the camera, and storage of the raw data. The second microcomputer automatically integrates the data as they are collected and allows the user to monitor the quality of data as they are processed. The integration programs are written in Fortran 77 and have been designed to be portable. Additional programs for crystal alignment, detector and camera control, and graphics are written in the C programming language. A description of the system, some characteristics of the detector, and the results of data collection are presented.

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9

Zhang, Xiu Ping. „Board Microcomputer Control System to Export Diesel Locomotive“. Applied Mechanics and Materials 214 (November 2012): 695–99. http://dx.doi.org/10.4028/www.scientific.net/amm.214.695.

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This Article based on the new board microcomputer control system structure and function, described in detail the new board microcomputer control system Exported Sudan SDD1 type diesel locomotive. After microcomputer control system is applied in locomotive, not only the performance of locomotive can be improved, and also the reliability of locomotive can be increased.

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10

A. G. Meiering, R. E. Subden und G. Hayward. „Adaptive Fermentation Control by Microcomputer“. Transactions of the ASAE 32, Nr. 4 (1989): 1470–76. http://dx.doi.org/10.13031/2013.31175.

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11

Doyle, James M., und Gerald F. Bosler. „Microcomputer Software Acquisition and Control“. Community & Junior College Libraries 4, Nr. 1 (07.07.1986): 53–66. http://dx.doi.org/10.1300/j107v04n01_10.

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12

Javůrek, Jiřı́. „Microcomputer control of electric drives“. Journal of Microcomputer Applications 17, Nr. 3 (Juli 1994): 299–309. http://dx.doi.org/10.1006/jmca.1994.1019.

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13

Jones, G. „Microcomputer control in hazardous areas“. Electronics and Power 31, Nr. 4 (1985): 315. http://dx.doi.org/10.1049/ep.1985.0193.

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14

Shota, Minoru. „Speaker activation control by microcomputer“. Journal of the Acoustical Society of America 83, Nr. 5 (Mai 1988): 1993. http://dx.doi.org/10.1121/1.396405.

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15

East, Thomas D. „Microcomputer data acquisition and control“. International Journal of Clinical Monitoring and Computing 3, Nr. 4 (Dezember 1986): 225–38. http://dx.doi.org/10.1007/bf01724390.

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16

Sweet, Stuart C., und Henry C. Griffin. „Microcomputer control of radiochemical processes“. International Journal of Applied Radiation and Isotopes 36, Nr. 11 (November 1985): 908–10. http://dx.doi.org/10.1016/0020-708x(85)90027-4.

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17

Noorani, Rafiqul I. „Microcomputer-based robot arm control“. Mathematical and Computer Modelling 14 (1990): 450–55. http://dx.doi.org/10.1016/0895-7177(90)90225-c.

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18

Ohmae, T., und M. Watanabe. „Microcomputer systems for motion control“. Control Engineering Practice 1, Nr. 3 (Juni 1993): 513–17. http://dx.doi.org/10.1016/0967-0661(93)91889-5.

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19

Sugano, Shigeki. „Composition of Multiple D.O.F. Robot Control System Using a Parallel Processing Microcomputer“. Journal of Robotics and Mechatronics 2, Nr. 3 (20.06.1990): 189–93. http://dx.doi.org/10.20965/jrm.1990.p0189.

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In this paper, a method of composition for a multimicroprocessor robotic systems and a concrete example of a mobile anthropomorphic manipulator are discussed. There are many methods to compose multimicroprocessor systems for robots and complex mechatronic units. It is most advantageous for multiple degrees of freedom robots to introduce a concurrent system employing microcomputers designed on the premise of parallel connection, as it is easy to realize high speed and efficiency. In addition, hardware and software design as well as related debugging is very easy. A mobile anthropomorphic manipulator (WAM-9) with 7 d.o.f. in the arm, 16 d.o.f. in the hand and 3 d.o.f. in the body has been developed aimed at improving the robot dexterity. The control system of WAM-9 employs a 32-bit ""Transputer"" parallel processing microcomputer. This system includes about 20 transputers and is modeled after the human central nervous system.

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20

TAKEDA, SEIICHI. „Control of acoustic stimulation by microcomputer.“ AUDIOLOGY JAPAN 29, Nr. 5 (1986): 711–12. http://dx.doi.org/10.4295/audiology.29.711.

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21

Lewis, Colin, und Larry E. Shirland. „Statistical Quality Control with Microcomputer Applications.“ Journal of the Operational Research Society 45, Nr. 6 (Juni 1994): 726. http://dx.doi.org/10.2307/2584466.

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22

Baums, A., und U. Grunde. „Microcomputer System for Walking Robot Control“. IFAC Proceedings Volumes 25, Nr. 29 (Oktober 1992): 135–37. http://dx.doi.org/10.1016/s1474-6670(17)50531-5.

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23

Aguado, A. „Microcomputer Controllers: Simplified Adaptive Control Algorithms“. IFAC Proceedings Volumes 19, Nr. 13 (November 1986): 15–22. http://dx.doi.org/10.1016/s1474-6670(17)59508-7.

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24

Miłek, J. J. „Microcomputer-Based Digital Control Laboratory Exercises“. IFAC Proceedings Volumes 23, Nr. 8 (August 1990): 429–34. http://dx.doi.org/10.1016/s1474-6670(17)51459-7.

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25

Lewis, Colin. „Statistical Quality Control with Microcomputer Applications“. Journal of the Operational Research Society 45, Nr. 6 (Juni 1994): 726–27. http://dx.doi.org/10.1057/jors.1994.113.

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26

Fegan, D. J., und H. M. Grimley. „Electronic speech synthesis with microcomputer control“. American Journal of Physics 53, Nr. 11 (November 1985): 1075–78. http://dx.doi.org/10.1119/1.14035.

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27

Rossano, G. S. „Microcomputer Control of Infrared Detector Arrays“. Publications of the Astronomical Society of the Pacific 98 (August 1986): 809. http://dx.doi.org/10.1086/131829.

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28

Sartori, Dave. „Statistical Quality Control With Microcomputer Applications“. Technometrics 36, Nr. 2 (Mai 1994): 224–25. http://dx.doi.org/10.1080/00401706.1994.10485780.

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29

HABIB, ROBERT SH, und QAIS A. H. ALNOUMAN. „Microcomputer-based liquid flowrate control system“. International Journal of Electronics 65, Nr. 1 (Juli 1988): 117–25. http://dx.doi.org/10.1080/00207218808945210.

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30

F. S. Zazueta und A. G. Smajstrla. „Microcomputer-based Control of Irrigation Systems“. Applied Engineering in Agriculture 8, Nr. 5 (1992): 593–96. http://dx.doi.org/10.13031/2013.26129.

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31

C. F. Abrams, Jr., E. H. Wiser, S. M. Leary, T. W. Woody und E. P. Harris. „Microcomputer-Based Control of Tobacco Curing“. Applied Engineering in Agriculture 6, Nr. 4 (1990): 507–14. http://dx.doi.org/10.13031/2013.26421.

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32

Lee, Y. H., M. Takashima und R. E. Speece. „Microcomputer pH control of multiple bioreactors“. Biotechnology and Bioengineering 30, Nr. 2 (05.08.1987): 329–30. http://dx.doi.org/10.1002/bit.260300226.

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33

Kulp, Richard W. „Statistical Quality Control with Microcomputer Applications“. Journal of Quality Technology 26, Nr. 4 (Oktober 1994): 325–27. http://dx.doi.org/10.1080/00224065.1994.11979548.

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34

Takahashi, Yoshihiko, und Yukiteru Kubota. „Robot control system using PIC microcomputer“. Proceedings of Conference of Kanto Branch 2003.9 (2003): 141–42. http://dx.doi.org/10.1299/jsmekanto.2003.9.141.

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35

Iizuka, Kenichi, Hideo Uzuhashi, Minoru Kano, Tsunehiro Endo und Katsuo Mohri. „Microcomputer Control for Sensorless Brushless Motor“. IEEE Transactions on Industry Applications IA-21, Nr. 3 (Mai 1985): 595–601. http://dx.doi.org/10.1109/tia.1985.349715.

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36

Bose, Bimal K., Timothy J. E. Miller, Paul M. Szczesny und William H. Bicknell. „Microcomputer Control of Switched Reluctance Motor“. IEEE Transactions on Industry Applications IA-22, Nr. 4 (Juli 1986): 708–15. http://dx.doi.org/10.1109/tia.1986.4504782.

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37

Mullins, Eamonn. „Statistical Quality Control with Microcomputer Applications“. Chemometrics and Intelligent Laboratory Systems 28, Nr. 1 (April 1995): 203. http://dx.doi.org/10.1016/0169-7439(95)80051-a.

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38

Malyshev, V. M. „Microcomputer data-acquisition and control system“. Measurement Techniques 28, Nr. 11 (November 1985): 1005–6. http://dx.doi.org/10.1007/bf00868797.

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39

Yin, Zhi Jian, Qiang Luo, Kun Xiang und Fan Wang. „Based on the Design of the Single Chip Microcomputer Numerical Control Constant Current Source“. Advanced Materials Research 926-930 (Mai 2014): 1226–29. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1226.

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This system based on single-chip microcomputer control, with buttons and LCD monitor as the man-machine interface of numerical control dc power supply. System is mainly composed of rectification filter circuit, the output current control module, LCD display module current and voltage controlled constant current module. Button to SCM number controls the size of the output current DAC0832, LCD display the current value. This system controlled by single chip microcomputer DA output, make the whole circuit system has a stable output current, step precision is high, easy to control, etc.

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40

Liu, Bing, und Tao Wu. „Design and Application of Single Chip Microcomputer in SCR Light Regulation Circuit“. Applied Mechanics and Materials 431 (Oktober 2013): 237–40. http://dx.doi.org/10.4028/www.scientific.net/amm.431.237.

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The aim of this article is to achieve the application of single chip microcomputer in SCR light regulation circuit. Its control part is simplified by analyzing the principle of SCR light regulation circuit. According to control function, the design scheme that let the single chip microcomputer bring about a good control function in SCR light regulation circuit is proposed. The experiment results demonstrate this design is practicable. The light regulation function could be realized by the single chip microcomputer.

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41

Gong, Yu Fang, Hu Liu und Xin Ying Li. „Design and Research of Rotational Inverted Pendulum Control System“. Applied Mechanics and Materials 668-669 (Oktober 2014): 466–69. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.466.

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The work is designed and made as a controlled system of rotational inverted pendulum. Small direct current machine is droved by Single chip microcomputer that it controls the angle of swinging of swinging rod when the rotating arm does reciprocating rotation motion. The MC9S12CXS128 single-chip microcomputer is adopted as the master control chip of control system, the Angle of swinging rod is measured by the incremental encoder, power of the rotary arm controlled part provided by PM35S - 048 direct current machine and the motor drive module as a control system. It can realize measurement and control of the rotation angle of the rotating arm and the swinging angle of swinging rod precisely.

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42

Sutherland, H., und K. Sonin. „Control engineers workbench--A methodology for microcomputer implementation of controls“. IEEE Control Systems Magazine 5, Nr. 1 (Februar 1985): 22–26. http://dx.doi.org/10.1109/mcs.1985.1104912.

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43

Lv, Yong, Chun Hui Niu, Yue Qiang Li, Qing Shan Chen, Xiao Ying Li und He Liu. „Precision Temperature Control System Based on PID Algorithm“. Applied Mechanics and Materials 389 (August 2013): 483–88. http://dx.doi.org/10.4028/www.scientific.net/amm.389.483.

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A precision temperature control system that uses ATmega128 as the main control microcomputer is built. The temperature is sensed by a Pt100 thermistor, and then converted into the voltage signal by a temperature transmitter to the microcomputer. Two kinds of digital PID (Proportional-Integral-Differential) algorithms are adopted to control the output power of the thermo-electric cooler (TEC) automatically. The test results of the improved temperature control system show that the set-up time of this system is about 340s and the temperature control accuracy is up to±0.1°C.

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44

Zheng, Wei, Jin Liang Zhou und Jin Min Peng. „The Control on Data Transmission of Multi-Bar Warp Knitted Machine“. Advanced Materials Research 332-334 (September 2011): 256–59. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.256.

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Mechanism controlling longitudinal movements of guide bars in a warp knitting machine is still employed in many factories in China. But it is use a lot of time in order to change the type of fabrics. This sort of mechanism is gradually replaced by stepping motor that controlled by microcomputer. So, it is need to send data that guide bar need to move from computer to microcomputer. A circuit of transmission data is designed. The serial communication uses port of RS232C and potential convertor MAX232ACPE without model. There are use only three lines of RXD, TXD and GND of the serial communication port in the microcomputer (80C51). The protocol of transmission data is programmed. The serial communication baud rate at 2400 is set. The data that control movement of guide bars can be transmitted rightly.

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45

Maeda, T., K. Matsushita, H. Sugimoto, F. Ishiguro, S. Tanaka und M. Shimomura. „Integrated Control of Generator Stability by Microcomputer“. IFAC Proceedings Volumes 20, Nr. 6 (August 1987): 113–18. http://dx.doi.org/10.1016/s1474-6670(17)59211-3.

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46

Czulek, A., K. Hangos und P. Inzelt. „Microcomputer Control of a Printing Ink Plant“. IFAC Proceedings Volumes 18, Nr. 11 (September 1985): 131–35. http://dx.doi.org/10.1016/s1474-6670(17)60119-8.

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47

Bízik, J., L. Harsányi, I. Oravec, L. Oravec und M. Dúbravská. „Microcomputer Control of Active Power in Industry“. IFAC Proceedings Volumes 18, Nr. 11 (September 1985): 243–45. http://dx.doi.org/10.1016/s1474-6670(17)60134-4.

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48

J. L. Dunlap, Jr. und F. A. Payne. „Microcomputer Control of a Two-Stage Combustor“. Transactions of the ASAE 31, Nr. 3 (1988): 0974–80. http://dx.doi.org/10.13031/2013.30809.

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49

Rakovszky, Gy, und B. Nagy. „Ganz Ansaldo's microcomputer-based generator control systems“. Mechatronics 8, Nr. 1 (Februar 1998): 13–20. http://dx.doi.org/10.1016/s0957-4158(97)00039-1.

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50

Harlow, J. H., und C. J. LaPlace. „A Microcomputer Control for Step-Voltage Regulators“. IEEE Power Engineering Review PER-5, Nr. 3 (März 1985): 38. http://dx.doi.org/10.1109/mper.1985.5528760.

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