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Статті в журналах з теми "Control-based design"

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Автор: Grafiati

Опубліковано: 12 червня 2021

Оновлено: 18 лютого 2022

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1

Li, Changzheng, Zhiyi Qu, and Yong Zhao. "Swimmy Disease Diagnosis Based on PLC Control System Design and Implementation." International Journal of Computer and Communication Engineering 4, no. 1 (2015): 57–60. http://dx.doi.org/10.7763/ijcce.2015.v4.382.

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2

R, Sathish. "Design and Implementation IOT based Industrial Sub Station Monitoring and Control System." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 1796–801. http://dx.doi.org/10.5373/jardcs/v12sp7/20202291.

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3

Mayne, D. Q., and E. Polak. "Optimization Based Design and Control †." IFAC Proceedings Volumes 26, no. 2 (July 1993): 921–30. http://dx.doi.org/10.1016/s1474-6670(17)48408-4.

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4

Zhu, Ya Jun. "Temperature Control System Based on Fuzzy Control Design." Applied Mechanics and Materials 738-739 (March 2015): 1061–65. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1061.

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Анотація:

In traditional control field, the control system dynamic model is accurate or not affecting the merits of the main control key, the more detailed dynamic information system, the more it can achieve precise control. However, for complex systems, because too many variables are often difficult to accurately describe the dynamic system, so engineers will use a variety of methods to simplify the system dynamics, in order to achieve the purpose of control, but not ideal. Fuzzy control is essentially a nonlinear control, intelligent control of subordinate category. The design, select AT89S51 microcontroller as controller design an intelligent heat faster. The intelligent heater temperature can be maintained within a set temperature range, so that the water temperature to fluctuate within a range set value and set value down to 0.5 degrees Celsius. Temperature sensor detects a temperature every second. Temperature can be displayed to one decimal place. Temperature detected by real-time digital display. Fuzzy Control of a major feature of both systematic theory, there are a lot of practical application background. Development of fuzzy control has been rapid and widespread application. Nearly 20 years, both in theory and fuzzy control technology has made great strides to become a very active field of automatic control but fruitful branch. Typical applications involve many aspects of their production and life, for example, fuzzy washing machines, air conditioners and other aspects.

5

Jabeen, Talat, and Ganesh Wakte. "Design and Implementation of Speed Control of Induction Motor using Arduino Based FLC." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 328–32. http://dx.doi.org/10.31142/ijtsrd23684.

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6

Verma, Anshul, and K. K. Pattanaik. "Multi-Agent Communication Based Train Control System for Indian Railways: The Structural Design." Journal of Software 10, no. 3 (March 2015): 250–59. http://dx.doi.org/10.17706/jsw.10.3.250-259.

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7

Turin, Raymond, Rong Zhang, and Man-Feng Chang. "Systematic Model-Based Engine Control Design." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 1, no. 1 (April 14, 2008): 413–24. http://dx.doi.org/10.4271/2008-01-0994.

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8

Bekiaris-Liberis, Nikolaos, Claudio Roncoli, and Markos Papageorgiou. "Predictor-Based Adaptive Cruise Control Design." IEEE Transactions on Intelligent Transportation Systems 19, no. 10 (October 2018): 3181–95. http://dx.doi.org/10.1109/tits.2017.2771501.

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9

Ye, Yongqiang, Danwei Wang, Bin Zhang, and Yigang Wang. "Simple LMI based learning control design." Asian Journal of Control 11, no. 1 (January 2009): 74–77. http://dx.doi.org/10.1002/asjc.82.

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10

Mušič, Gašper, Drago Matko, and Borut Zupančič. "MODEL BASED PROGRAMMABLE CONTROL LOGIC DESIGN." IFAC Proceedings Volumes 35, no. 1 (2002): 193–98. http://dx.doi.org/10.3182/20020721-6-es-1901.00520.

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11

Jha, Nand K. "Geometric programming based robot control design." Computers & Industrial Engineering 29, no. 1-4 (September 1995): 631–35. http://dx.doi.org/10.1016/0360-8352(95)00146-r.

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12

Fradkov, Alexander L., and Boris Andrievsky. "Passification-based robust flight control design." Automatica 47, no. 12 (December 2011): 2743–48. http://dx.doi.org/10.1016/j.automatica.2011.09.004.

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13

Nguyen, Ngoc Anh, Sorin Olaru, Pedro Rodríguez-Ayerbe, and Michal Kvasnica. "Convex liftings-based robust control design." Automatica 77 (March 2017): 206–13. http://dx.doi.org/10.1016/j.automatica.2016.11.031.

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14

Rajasekhara Reddy, B., K. Tulasiram, Naregalkar Akshay, and S. Pranavanand. "Optimization based internal model control design." IOP Conference Series: Materials Science and Engineering 1022 (January 19, 2021): 012088. http://dx.doi.org/10.1088/1757-899x/1022/1/012088.

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15

Ulum, Zaiful. "Model Predictive Control Based Kalman Filter for Active Suspension Design of Light Rail Vehicles." Journal of Advanced Research in Dynamical and Control Systems 51, SP3 (February 28, 2020): 261–67. http://dx.doi.org/10.5373/jardcs/v12sp3/20201261.

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16

Kıvrak, Sinan, Tolga Özer, and Yüksel Oğuz. "CAN BUS BASED BMS CONTROL CARD DESIGN AND IMPLEMENTATION BY USING STM32f103 SERIES MICROCONTROLLER." E-journal of New World Sciences Academy 15, no. 1 (January 15, 2020): 27–33. http://dx.doi.org/10.12739/nwsa.2020.15.1.1a0448.

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17

Luppi, P. A., L. Braccia, P. G. Rullo, and D. A. R. Zumoffen. "Plantwide Control Design Based on the Control Allocation Approach." Industrial & Engineering Chemistry Research 57, no. 1 (December 21, 2017): 268–82. http://dx.doi.org/10.1021/acs.iecr.7b02966.

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18

Mahmood, Maaz, and Prashant Mhaskar. "Constrained control Lyapunov function based model predictive control design." International Journal of Robust and Nonlinear Control 24, no. 2 (August 31, 2012): 374–88. http://dx.doi.org/10.1002/rnc.2896.

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19

Feng, Chieh Chuan, Li Peng Yin, and En Chih Chang. "Robust Control Design Based-On Integral Sliding-Mode Control." Applied Mechanics and Materials 284-287 (January 2013): 2301–4. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2301.

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Анотація:

This paper proposes a robust control design based-on integral sliding-mode and H2–norm performance criterion to handle a class of time-varying systems with perturbations including non-linearities and disturbances. The stabilization problems for such systems are studied: integral slid-ing-mode is designated to completely nullify the matched perturbations and, in the meantime, elim-inate the reaching phase to the sliding surface, while H2–norm is a robust linear control measured for system on the sliding surface. In addition to the integral sliding mode control, the contribution of the paper is to implement a parameter-dependent Lyapunov function for H2–norm robust linear control that the overall designed system is less conservative for the system with both matched and unmatched perturbations.

20

Zhao, Zhaolong, Minghui Huang, and Yibao Li. "Control design based on multi-index nonlinear control method." Journal of Physics: Conference Series 1952, no. 3 (June 1, 2021): 032005. http://dx.doi.org/10.1088/1742-6596/1952/3/032005.

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21

ZECCA, Massimiliano, Jacopo CARPANETO, Silvestro MICERA, M. Chiara CARROZZA, Paolo DARIO, Kazuko ITOH, and Atsuo TAKANISHI. "2P2-A05 Evolutionary Design of a Fuzzy Classifier for EMG-based Control : Control of a Multi-DoFs Underactuated Hand Prosthesis." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2006 (2006): _2P2—A05_1—_2P2—A05_4. http://dx.doi.org/10.1299/jsmermd.2006._2p2-a05_1.

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22

Komatsu, Wilson, Naji Ama, and Lourenco Matakas Junior. "Digital Control for PLLs Based on Moving Average Filter: Analysis and Design in Discrete Domain." Eletrônica de Potência 20, no. 3 (September 1, 2015): 293–99. http://dx.doi.org/10.18618/rep.2015.3.2547.

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23

Alfita, Riza, Koko Joni, and Fajar Dwika Darmawan. "Design of Monitoring Battery Solar Power Plant and Load Control System based Internet of Things." TEKNIK 42, no. 1 (January 20, 2021): 35–44. http://dx.doi.org/10.14710/teknik.v42i1.29687.

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Анотація:

Internet of Things technology in this research is utilized on solar power plant (Case Study: Electrical Engineering Department of Trunojoyo Madura University) as a battery power monitoring and load control system. All of these systems were built to make it easier for users to manage the power consumption while preventing battery damage so that lifetime can last longer and the use of PLTS than more optimal. All of these systems are designed to use several integrated components with their respective functions, including Raspberry as a data processing, smartphone as an interface, and sensors actuator as input-output. From the results of the monitoring accuracy test, the average error value is 1.56%. After ensuring the system has a high level of accuracy, The charge-discharge test is conducted in real-time for 7 days, which shows that the system works according to the research objectives as evidenced by the nothingness of power consumption exceeding the SOC standard limit battery used by 30%. Meanwhile, for the control system test, the wifi connection has the fastest average delay for 10,30 s, provider A 11,17 s, and provider B 12,60 s.

24

Sun, Lir‐Fang, Jiun‐Meei Liaw, Pong‐Chi Chu, Shaw‐Tzuu Kong, Tseng‐Rong Chen, David Shou, and Tai‐Ming Parng. "A control‐flow based design of automated design synthesis system." Journal of the Chinese Institute of Engineers 11, no. 4 (June 1988): 349–59. http://dx.doi.org/10.1080/02533839.1988.9677080.

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25

Karcanias, Nicos. "Integrated process design: A generic control theory/design based framework." Computers in Industry 26, no. 3 (August 1995): 291–301. http://dx.doi.org/10.1016/0166-3615(95)00044-5.

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26

Li, Bin, Qian Shou Liu, Di Min Wu, Zi Hui Zhang, and Yang Ke Zhou. "Control Law Design Based on Geometric Algebra." Applied Mechanics and Materials 347-350 (August 2013): 496–500. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.496.

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Анотація:

A position and attitude control law is developed using geometric algebra (GA). GA is a powerful representational and computational system for geometry. The rigid body motion can be represented by the versor product in GA framework. Using the kinematics of the motor (the versor which represents the rigid body motion in GA), the control law of the rigid body motion can be developed. This paper provides a GA-based position and attitude control law by using the negative feedback of the motor. The stability of the control law is validated by the Lyapunov theorem and the numerical simulation.

27

Li, Fu Rong, Jian Li Yu, and Ya Zhou Di. "Based on DSP Temperature Control System Design." Applied Mechanics and Materials 321-324 (June 2013): 1337–41. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1337.

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In this paper, it describes a DSP-based TMS320F28335 high-precision temperature control systems and explains its construction and principle. ADC which is integrated within DSP processes the collect temperature and double-controller algorithm controls the PWM output, the temperature can be set faster and more accurate. Simulation obtains two controller output stability, regulation faster, and getting a good robustness.

28

Soe, Theint Theint. "Design of PLC based Elevator Control System." International Journal for Research in Applied Science and Engineering Technology 7, no. 8 (August 31, 2019): 416–21. http://dx.doi.org/10.22214/ijraset.2019.8058.

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29

Tang, Wei-Qiang, and Yuan-Li Cai. "Predictive Functional Control-Based Missile Autopilot Design." Journal of Guidance, Control, and Dynamics 35, no. 5 (September 2012): 1450–55. http://dx.doi.org/10.2514/1.56329.

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30

Crespo, Luis G., and Sean P. Kenny. "Reliability-Based Control Design for Uncertain Systems." Journal of Guidance, Control, and Dynamics 28, no. 4 (July 2005): 649–58. http://dx.doi.org/10.2514/1.9127.

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31

Andrs, Ondrej, Jan Vetiska, Michal Holub, and Jiri Kovar. "Model Based Design of Fuel Pump Control." Applied Mechanics and Materials 821 (January 2016): 601–7. http://dx.doi.org/10.4028/www.scientific.net/amm.821.601.

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This paper presents a co-simulation method to design of speed controller for turbojet fuel pump. Expected fuel pump is used for small turbine engine concept with reducer driven by free turbine. The amount of injected fuel into the combustion chamber is based on the speed of the fuel pump which is controlled by the engine control unit. The final flow of fuel into the combustion chamber is restricted by fuel bypass which constricts the return fuel according to pressure in the nozzles. This back fuel bypass has nonlinear and fixed characteristic determined by its structure. The only way how to control the amount of incoming fuel to the engine is the pump speed control. Effect of the bypass represents a variable component in the fuel pump load and from the view of the speed controller it is a disturbance variable. This paper describes the co-simulation model based on the use of MATLAB/Simulink and MSC Adams environment. This simulation uses interconnection of Simulink controller design and simplified model of the fuel pump dynamics in Adams (without hydraulic modelling).

32

Fradkov, Alexander L., and Boris Andrievsky. "Passification-based robust flight control system design." IFAC Proceedings Volumes 43, no. 10 (2010): 66–71. http://dx.doi.org/10.3182/20100826-3-tr-4015.00015.

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33

Ji, Ling. "Control System Design Based on MSP430 Microcontroller." Advanced Materials Research 1030-1032 (September 2014): 1438–41. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1438.

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Single-chip microcomputer MSP430F44 is the core control chip of the multifunction TIG welding controller, MCU is produced by TI and 16-bit flash type, the chip control system uses C430 language to modular software programming, coordination with other subroutines by the main program module , through a simple interface conditioning circuitry on a TIG welder can achieve a variety of welding processes, the welding flexible demand is satisfied. One of the most important module of the welding current waveform generator module, the welding waveform parameters are automatically generated by two way, one is the welding methods, the other is the welding parameters, then judge the input signal of the welding gun, when the gun is pressed, the corresponding waveform output; the welding current waveform output can be achieved using this software, is displayed on the welding current waveform generator.

34

Danlin CAI. "Design for ZigBee-based Universal Control Platform." International Journal of Digital Content Technology and its Applications 5, no. 6 (June 30, 2011): 122–28. http://dx.doi.org/10.4156/jdcta.vol5.issue6.15.

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35

Y. Dakhole, Ashwini, Dr U. M. Gokhale, and Prof MrunaliniP Moon. "Design of ARM7 Based Traffic Control System." IOSR journal of VLSI and Signal Processing 4, no. 4 (2014): 34–40. http://dx.doi.org/10.9790/4200-04413440.

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36

Shoureshi, R., M. Momot, and J. Feddma. "Intelligent Control for Design-Based Automated Assembly." IFAC Proceedings Volumes 23, no. 3 (September 1990): 309–14. http://dx.doi.org/10.1016/s1474-6670(17)52574-4.

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37

Magni, Jean-FranCois. "An observer based multimodel control design approach." International Journal of Systems Science 30, no. 1 (January 1999): 61–68. http://dx.doi.org/10.1080/002077299292678.

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38

Eva Wu, N. "Reliability Criteria Based Reconfigurable Control System Design." IFAC Proceedings Volumes 30, no. 18 (August 1997): 1065–70. http://dx.doi.org/10.1016/s1474-6670(17)42538-9.

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39

S. Su, H., and Y. Q. Kang. "CONDITION BASED PREVENTIVE MAINTENANCE CONTROL STRATEGY DESIGN." International Journal on Smart Sensing and Intelligent Systems 7, no. 3 (2014): 967–1003. http://dx.doi.org/10.21307/ijssis-2017-690.

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40

Vempati, Anurag Sai, Vipul Choudhary, and Laxmidhar Behera. "Quadrotor: Design, Control and Vision Based Localization." IFAC Proceedings Volumes 47, no. 1 (2014): 1104–10. http://dx.doi.org/10.3182/20140313-3-in-3024.00229.

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41

Bian, Xiaojun, Li-Yi Wei, and Sylvain Lefebvre. "Tile-based Pattern Design with Topology Control." Proceedings of the ACM on Computer Graphics and Interactive Techniques 1, no. 1 (July 25, 2018): 1–15. http://dx.doi.org/10.1145/3203204.

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42

Funing, Wang. "Control Systems Design Based on Classical Dynamics." Automation, Control and Intelligent Systems 2, no. 5 (2014): 81. http://dx.doi.org/10.11648/j.acis.20140205.12.

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43

Ning, Xianghui, and Chunjie Wu. "Improved design of quantile-based control charts." Journal of the Chinese Institute of Industrial Engineers 28, no. 7 (October 2011): 504–11. http://dx.doi.org/10.1080/10170669.2011.636383.

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44

Capizzi, Giovanna, and Guido Masarotto. "Bootstrap-based design of residual control charts." IIE Transactions 41, no. 4 (February 23, 2009): 275–86. http://dx.doi.org/10.1080/07408170802120059.

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45

Piltan, Farzin, Omid Avatefipour, Samira Soltani, Omid Mahmoudi, Mahmoud Reza Safaei Nasrabad, Mehdi Eram, Zahra Esmaeili, Sara Heidari, Kamran Heidari, and Mohammad Mahidi Ebrahimi. "Design FPGA-Based CL-Minimum Control Unit." International Journal of Hybrid Information Technology 9, no. 1 (January 31, 2016): 101–18. http://dx.doi.org/10.14257/ijhit.2016.9.1.10.

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46

Cherian, Fenin, Ashish Ranjan, Pathikrit Bhowmick, and A. Rammohan. "Model based design of electronic throttle control." IOP Conference Series: Materials Science and Engineering 263 (November 2017): 062063. http://dx.doi.org/10.1088/1757-899x/263/6/062063.

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47

Nguyen, N. A., S. Olaru, and P. Rodriguez-Ayerbe. "Robust control design based on convex liftings." IFAC-PapersOnLine 48, no. 14 (2015): 308–13. http://dx.doi.org/10.1016/j.ifacol.2015.09.475.

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48

Yang, Shuanghua, Liansheng Tan, and Guo-Ping Liu. "Architecture design for internet-based control systems." International Journal of Automation and Computing 1, no. 1 (October 2004): 1–9. http://dx.doi.org/10.1007/s11633-004-0001-1.

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49

Feyzi, Masoud, Hossein Navid, and Iman Dianat. "Ergonomically based design of tractor control tools." International Journal of Industrial Ergonomics 72 (July 2019): 298–307. http://dx.doi.org/10.1016/j.ergon.2019.06.007.

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50

Lorefice, Laura, Barbara Pralio, and Roberto Tempo. "Randomization-based control design for Mini-UAVs." Control Engineering Practice 17, no. 8 (August 2009): 974–83. http://dx.doi.org/10.1016/j.conengprac.2009.03.003.

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