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Journal articles on the topic 'VECTOR CONTROLLED'

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Author: Grafiati

Published: 11 September 2023

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1

Li, Xiaobo, and Laust B. Pedersen. "Controlled source tensor magnetotellurics." GEOPHYSICS 56, no. 9 (September 1991): 1456–61. http://dx.doi.org/10.1190/1.1443165.

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Impedance tensor and tipper vectors, known to connect the electromagnetic surface components for plane‐wave excitation, are shown to be uniquely defined for horizontal electric or horizontal magnetic dipole sources. Two independent source polarizations are needed for their estimation in practice. Analysis of impedance tensors and tipper vectors for a layered half‐space shows that the impedance tensor can be antidiagonalized by rotating the measurement system so that one of the measurement directions coincides with the direction to the transmitter dipole. The tipper vector points towards the transmitter dipole. In the static limit, all transfer functions are real, and simple analytic results for a homogeneous half‐space show that impedance elements are proportional to the inverse of the product of conductivity and distance between source and receiver, while the tipper vector is a unit vector pointing towards the transmitter dipole.

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2

Peresada, S. M., Y. O. Nikonenko, S. M. Kovbasa, D. I. Rodkin, and O. I. Kiselychnyk. "Observer-based speed estimation for vector controlled induction motors." Tekhnichna Elektrodynamika 2022, no. 1 (January 24, 2022): 25–32. http://dx.doi.org/10.15407/techned2022.01.025.

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A speed observer for field-oriented controlled induction drives is presented. The proposed solution exploits the concept of the classic full-order flux observer which is adaptive to the rotor resistance variations. Due to the structural similarity of the rotor speed and active rotor resistance in motor model, the speed observer can be designed using similar structure. The observer guarantees local asymptotic estimation of the rotor fluxes, stator currents and rotor speed in all operating conditions, excluding DC stator excitation. The stability properties of the observer are studied using Lyapunov’s second method. It is experimentally shown that the observer provides an acceptable dynamics of the speed estimation if speed is slowly varying. The proposed observer is suitable for the applications with medium requirements for speed regulation performance. References 13, figures 5.

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3

Luiz Silvino Jr, Balduino C. Rabelo, JosÉ. "Current Controller for Autocommissioned Vector-Controlled Induction Motor Drives." Electric Machines & Power Systems 28, no. 8 (August 2000): 735–47. http://dx.doi.org/10.1080/07313560050082721.

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4

Marufuzzaman, Mohammad, Mamun Bin Ibne Reaz, Labonnah Farzana Rahman, and Tae Gyu Chang. "High-Speed CurrentdqPI Controller for Vector Controlled PMSM Drive." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/709635.

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High-speed current controller for vector controlled permanent magnet synchronous motor (PMSM) is presented. The controller is developed based on modular design for faster calculation and uses fixed-point proportional-integral (PI) method for improved accuracy. Currentdqcontroller is usually implemented in digital signal processor (DSP) based computer. However, DSP based solutions are reaching their physical limits, which are few microseconds. Besides, digital solutions suffer from high implementation cost. In this research, the overall controller is realizing in field programmable gate array (FPGA). FPGA implementation of the overall controlling algorithm will certainly trim down the execution time significantly to guarantee the steadiness of the motor. Agilent 16821A Logic Analyzer is employed to validate the result of the implemented design in FPGA. Experimental results indicate that the proposed currentdqPI controller needs only 50 ns of execution time in 40 MHz clock, which is the lowest computational cycle for the era.

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5

Rinkeviciene, Roma, and Andrius Petrovas. "Model of Vector Controlled Induction Drive." Solid State Phenomena 147-149 (January 2009): 149–54. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.149.

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The paper presents the model of vector controlled induction motor. Induction motor model is carried out in reference frame, fixed on stator. Elaborated model of the drive is suitable for investigation dynamics because output signals appear as real currents, flux linkages and other variables. Vector control law model is implemented for variables in synchronous reference frame; therefore controller operates with transformed variables. Structure of designed model reflects the real variable speed drive. Model of vector controlled induction drive comprise model of induction motor, feedback signals and blocks as well as speed and flux reference blocks and controllers for producing motor supply signals. Feedback blocks are used for calculation stator current vector in the rotor flux linkage reference frame. For flux and speed control are designed lag controllers. Between advantages of that model is additional simulation of current channel law.

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6

BOUAKOURA, Mohamed, Nasreddine NAĂŹT-SAĂŹD, and Mohamed-Said NAĂŹT-SAĂŹD. "SPEED SENSOR FAULTS DIAGNOSIS IN AN INDUCTION MOTOR VECTOR CONTROLLED DRIVE." Acta Electrotechnica et Informatica 17, no. 1 (March 1, 2017): 49–51. http://dx.doi.org/10.15546/aeei-2017-0007.

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7

Xu, Sheng Sheng, Jiu He Wang, Xiao Bin Mu, and Wen Gu. "Passivity-Based Control of Voltage Source PWM Rectifier Based on Synthesis Space Vector." Advanced Materials Research 466-467 (February 2012): 1120–24. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1120.

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This paper presents passivity-based control of voltage source PWM rectifier based on voltage space vector synthesis. According to the power circuit of voltage source PWM rectifier, port controlled Hamilton dissipation (PCHD) model of this rectifier is established. Based on the PCHD model, passivity based controller can be derived. The controller is realized by modulation of synthetic space vectors .The passivity based controller can improve the system response speed and stability more effectively. The simulation results verify the feasibility of the proposed controller.

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8

Jain, Jitendra Kumar, Sandip Ghosh, and Somnath Maity. "Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor." Asian Journal of Control 22, no. 1 (September 28, 2018): 130–42. http://dx.doi.org/10.1002/asjc.1911.

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9

Pan, Ching‐Tsai, and Ting‐Yu Chang. "A space vector implementation based vector controlled induction motor drive." Journal of the Chinese Institute of Engineers 17, no. 2 (March 1994): 213–22. http://dx.doi.org/10.1080/02533839.1994.9677584.

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10

Verma, Vimlesh. "Current sensorless vector controlled induction motor drive." IAES International Journal of Robotics and Automation (IJRA) 8, no. 1 (March 1, 2019): 52. http://dx.doi.org/10.11591/ijra.v8i1.pp52-67.

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This paper presents a current sensorless vector controlled induction motor drive with only speed sensor present in the system. The same performance as that of normal vector control drives (which uses two current and one speed sensor) is achieved with the proposed current sensorless drive. Such an approach is suitable for applications, where speed sensor cannot be eliminated. Thus, elimination of current sensor results in reduction of cost, increases reliability, reduced size and noise immunity. A new current estimation algorithm is proposed in this paper. The current estimation algorithm, estimates the current in two phase stationary reference frame. The proposed current estimation technique can also be used as a fault tolerant algorithm for normal vector controlled drives in case of current sensor failures. The performance of the current sensorless drive using the proposed current estimation technique is verified through MATLAB/SIMULINK. Extensive simulation results are presented to confirm the effectiveness of the algorithm. The algorithm is also experimentally validated with the laboratory developed prototype and the results are presented. The prototype is built around a dSPACE 1104 controller board.

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11

Cao, Longyang, Mingming Zhang, Jiantai Dou, Jiang Zhao, Youyou Hu, and Bo Li. "Controlled generation of order-switchable cylindrical vector beams from a Nd:YAG laser." Chinese Optics Letters 21, no. 10 (2023): 101401. http://dx.doi.org/10.3788/col202321.101401.

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12

Caranti, Giorgio M., and Miguel A. Ré. "A vector impedance meter digitally controlled." Review of Scientific Instruments 62, no. 12 (December 1991): 3092–97. http://dx.doi.org/10.1063/1.1142159.

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13

Yen-Shin Lai. "Machine modeling and universal controller for vector-controlled induction motor drives." IEEE Transactions on Energy Conversion 18, no. 1 (March 2003): 23–32. http://dx.doi.org/10.1109/tec.2002.808381.

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14

P.M, MENGHAL, and SINGH BRAJPAL. "DYNAMIC ANALYSIS OF VECTOR CONTROLLED INDUCTION MOTOR USING ARTIFICIAL INTELLIGENT CONTROLLER." i-manager’s Journal on Instrumentation and Control Engineering 4, no. 4 (2016): 23. http://dx.doi.org/10.26634/jic.4.4.8230.

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15

Lai, Y. S. "Machine Modeling and Universal Controller for Vector-Controlled Induction Motor Drives." IEEE Power Engineering Review 22, no. 12 (December 2002): 58. http://dx.doi.org/10.1109/mper.2002.4311898.

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16

Kumar, Bhavnesh, Yogesh K. Chauhan, and Vivek Shrivastava. "Solar Powered Fuzzy Logic Controller based Vector Controlled Induction Motor Drive." Journal of Automation and Control Engineering 1, no. 4 (2013): 296–300. http://dx.doi.org/10.12720/joace.1.4.296-300.

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17

Sathishkumar, H., and S. S. Parthasarathy. "A novel fuzzy logic controller for vector controlled induction motor drive." Energy Procedia 138 (October 2017): 686–91. http://dx.doi.org/10.1016/j.egypro.2017.10.201.

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18

Sathishkumar, H., and S. S. Parthasarathy. "A novel neuro-fuzzy controller for vector controlled induction motor drive." Energy Procedia 138 (October 2017): 698–703. http://dx.doi.org/10.1016/j.egypro.2017.10.203.

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19

Kahyoosh Hassan, Turki, and Mustafa Bashar Abdulmelik. "OPTIMAL CONTROLLER FOR VECTOR-CONTROLLED MULTILEVEL INVERETER FED BRUSHLESS DC MOTOR." Journal of Engineering and Sustainable Development 2018, no. 01 (January 1, 2018): 34–46. http://dx.doi.org/10.31272/jeasd.2018.1.4.

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20

RAMA MOHAN, Pasupuleti, Teegala BRAHMANANDA REDDY, and Mallapu VIJAYA KUMAR. "GENERALIZED SCALAR PWM ALGORITHMS FOR DIODE CLAMPED MULTILEVEL INVERTER FED VECTOR CONTROLLED DRIVES." Acta Electrotechnica et Informatica 16, no. 4 (December 2016): 27–36. http://dx.doi.org/10.15546/aeei-2016-0029.

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21

Singh, Bhim, and Sumit Ghatak Choudhuri. "Fuzzy Logic based Speed Controllers for Vector Controlled Induction Motor Drive." IETE Journal of Research 48, no. 6 (November 2002): 441–47. http://dx.doi.org/10.1080/03772063.2002.11416308.

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22

Wee Yen, Goh, Nik Rumzi Nik Idris, Auzani Jidin, and Tole Sutikno. "Modified Look-Up Table for Enhancement of Torque Response in Direct Torque Controlled Induction Machine." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 2 (June 1, 2017): 522. http://dx.doi.org/10.11591/ijpeds.v8.i2.pp522-533.

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Basically, the direct torque control (DTC) drive system is operated at light load. At light load, supplying the drive system with rated flux will decrease the efficiency of the system. To maximize the efficiency of drive system, an optimal flux has been applied during steady-state but when a torque is suddenly needed, for example during acceleration, the dynamic of the torque response would be degraded. Therefore, a modification to the voltage vector as well as look-up table has been proposed for the torque response improvement. The proposed voltage vector is generated by adding two adjacent conventional voltage vectors and implemented by using duty ratio. The duty ratio is used to estimate the activation time of each conventional voltage vector in order to produce the proposed voltage vector.

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23

Bezmen, P. "A CONTROL SYSTEM ON A CONTROLLED OBJECT STATE WITH AN OBSERVER AND A STATE REGULATOR." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 8, no. 1 (January 16, 2023): 102–20. http://dx.doi.org/10.34031/2071-7318-2022-8-1-102-120.

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The paper proposes the model of a control system based on the controlled object state. The model includes a state observer and a state controller. The reference signal for this control system is the required values of the controlled object state variables. As a state observer of a controlled object in the control system model, the system "extended Kalman filter - adaptive digital filter" (the EKF-ADF system) is used. The structure and operation principle of the control system state controller are described. The adaptive algorithm of the control system state controller is presented. The control system state controller with the adaptive algorithm uses the output data of the EKF-ADF system to form the controller output (error) vector. The output data consist of the state estimation vector performed by the EKF of the EKF-ADF system and the vector of the corrected state estimation performed by the ADF of the EKF-ADF system. The adaptive algorithm of the control system state controller takes into account the output data of the EKF-ADF system in such a way as to form the most reliable state controller output vector. To confirm the effectiveness of the considered control system, the control process numerical simulation results of a mobile robot with a caterpillar mover are presented: the proposed control system simulation results are compared with the simulation results of the control system that uses the EKF as a state observer. The combination of the state observer and the state regulator as part of the proposed control system makes it possible to control dynamic objects with state variables which are inaccessible to direct measurement and have non-periodic external disturbances.

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24

Keesmaat, N. W., H. C. M. Kleijn, and G. Rozenberg. "Vector Controlled Concurrent Systems, Part II: Comparisons." Fundamenta Informaticae 14, no. 1 (January 1, 1991): 1–38. http://dx.doi.org/10.3233/fi-1991-14102.

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In this paper the behaviour of models of concurrent systems introduced in [KeeKleRoz] is investigated. In particular (i) static and dynamic models are compared and (ii) the effect of restricting the sequential components to be regular is considered.

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25

Shimane, Kazuo, Shigeru Tanaka, and Susumu Tadakuma. "Vector Controlled Induction Motors Using Neural Network." IEEJ Transactions on Industry Applications 113, no. 10 (1993): 1154–61. http://dx.doi.org/10.1541/ieejias.113.1154.

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26

Parrado-Hernández, E., I. Mora-Jiménez, J. Arenas-Garcı́a, A. R. Figueiras-Vidal, and A. Navia-Vázquez. "Growing support vector classifiers with controlled complexity." Pattern Recognition 36, no. 7 (July 2003): 1479–88. http://dx.doi.org/10.1016/s0031-3203(02)00351-5.

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27

TSUJIMOTO, Koichi, Koji AO, Toshihiko SHAKOUCHI, and Toshitake ANDO. "468 Flow Property of Jet Vector-Controlled." Proceedings of Conference of Tokai Branch 2010.59 (2010): 265–66. http://dx.doi.org/10.1299/jsmetokai.2010.59.265.

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28

Jadot, F., F. Malrait, J. Moreno-Valenzuela, and R. Sepulchre. "Adaptive Regulation of Vector-Controlled Induction Motors." IEEE Transactions on Control Systems Technology 17, no. 3 (May 2009): 646–57. http://dx.doi.org/10.1109/tcst.2008.2003434.

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29

Chrzan, P. J., and H. Klaassen. "Parameter identification of vector-controlled induction machines." Electrical Engineering 79, no. 1 (January 1996): 39–46. http://dx.doi.org/10.1007/bf01840706.

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30

Shimane, Kazuo, Shigeru Tanaka, and Susumu Tadakuma. "Vector-controlled induction motors using neural network." Electrical Engineering in Japan 115, no. 1 (February 1995): 75–84. http://dx.doi.org/10.1002/eej.4391150107.

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31

Zhang, P., D. Smirnov, and J. Solomon. "Wassersplines for Neural Vector Field‐Controlled Animation." Computer Graphics Forum 41, no. 8 (December 2022): 31–41. http://dx.doi.org/10.1111/cgf.14621.

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32

Williamson, S., and R. C. Healey. "Space vector representation of advanced motor models for vector controlled induction motors." IEE Proceedings - Electric Power Applications 143, no. 1 (1996): 69. http://dx.doi.org/10.1049/ip-epa:19960006.

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33

Kehinde, L. O., K. A. Makinwa, and A. D. Akinde. "A Microprocessor-Based Vector Graphic System for Microcomputers." International Journal of Electrical Engineering & Education 24, no. 2 (April 1987): 131–46. http://dx.doi.org/10.1177/002072098702400208.

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This paper describes the development of a microprocessor-controlled vector graphics system for microcomputers. The microcomputer accepts data lists specifying graphic lines and transfers these to the microprocessor where they are stored and used to constantly refresh the screen of a standard oscilloscope via a screen controller. The system resolution is 253 × 253 and lines are drawn at a rate of 5000/sec.

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34

Sathishkumar, H., and S. S. Parthasarathy. "A novel neural network intelligent controller for vector controlled induction motor drive." Energy Procedia 138 (October 2017): 692–97. http://dx.doi.org/10.1016/j.egypro.2017.10.202.

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35

Jain, Jitendra Kr, Sandip Ghosh, Somnath Maity, and Pawel Dworak. "PI controller design for indirect vector controlled induction motor: A decoupling approach." ISA Transactions 70 (September 2017): 378–88. http://dx.doi.org/10.1016/j.isatra.2017.05.016.

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36

A, Venkadesan. "CARRIER BASED PWM TECHNIQUE AND ADAPTIVE NEURAL NETWORK BASED ROTOR RESISTANCE ESTIMATOR FOR THE PERFORMANCE ENHANCEMENT OF VECTOR CONTROLLED INDUCTION MOTOR DRIVES." Journal of Engineering Research [TJER] 16, no. 1 (May 9, 2019): 63. http://dx.doi.org/10.24200/tjer.vol16iss1pp63-76.

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In this paper, the carrier based Pulse Width Modulation (PWM) technique and neural network based rotor resistance estimator are proposed for vector controller Induction motor (IM) drives. The popular sine PWM is used for induction motor drive. The popular sine PWM has poor harmonic profile and (DC) utilization. The space vector modulation (SVM) technique overcomes the disadvantages of sine PWM. But SVM is computationally complex. Hence a simple PWM technique namely “carrier based PWM technique” similar to SVM is identified and proposed for vector controlled IM drive. The experimental set up is built up and the performance of carrier based PWM is validated using FPGA processor. The adaptive neural network based rotor resistance estimator in predictive mode is proposed for the vector controlled induction motor drive. The performance enhancement of the drive with carrier based PWM and rotor resistance estimator is comprehensively presented.

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37

Joshi, Girisha, and Pinto Pius A J. "ANFIS controller for vector control of three phase induction motor." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (September 1, 2020): 1177. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1177-1185.

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For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis current and speed of the motor. In this paper performance of the indirect vector controller containing artificial neural network based fuzzy logic (ANFIS) based control system is studied and compared with regular fuzzy logic system, which is developed without using artificial neural network. Data required to model the artificial neural network based fuzzy inference system is obtained from the PI controlled induction motor system. Results obtained in MATLAB-SIMULINK simulation shows that the ANFIS controller is superior compared to controller which is implemented only using fuzzy logic, under all dynamic conditions.

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38

Moussa, Intissar, and Adel Khedher. "Software in-the-Loop Simulation of an Advanced SVM Technique for 2ϕ-Inverter Control Fed a TPIM as Wind Turbine Emulator." Electronics 11, no. 2 (January 7, 2022): 187. http://dx.doi.org/10.3390/electronics11020187.

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An appropriate modulation scheme selection ensures inverter performance. Thus, space vector modulation (SVM) is more efficient and has its own distinct advantages compared to other pulse width modulation (PWM) techniques. This work deals with the development of an advanced space vector pulse width modulation (SVM) technique for two-phase inverter control using an XSG library to ensure rapid prototyping of the controller FPGA implementation. The proposed architecture is applied digitally and in real time to drive a two-phase induction motor (TPIM) for small-scale wind turbine emulation (WTE) profiles in laboratories with minimum current ripple and torque oscillation. Four space voltage vectors generated for the used SVM technique do not contain a zero vector. Hence, for an adequate adjustment of these four vectors, a reference voltage vector located in the square locus is determined. Considering the asymmetry between the main and auxiliary windings, the TPIM behavior, which is fed through the advanced SVM controlled-two-phase inverter (2ϕ-inverter), is studied, allowing us to control the speed and the torque under different conditions for wind turbine emulation. Several quantities, such as electromagnetic torque, rotor fluxes, stator currents and speed, are analyzed. To validate the obtained results using both Simulink and XSG interfaces, the static and dynamic characteristics of the WTE are satisfactorily reproduced. The collected speed and torque errors between the reference and actual waveforms show low rates, proving emulator controller effectiveness.

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39

Bloom, David C., Joyce Feller, Peterjon McAnany, Nuria Vilaboa, and Richard Voellmy. "Replication-Competent Controlled Herpes Simplex Virus." Journal of Virology 89, no. 20 (August 12, 2015): 10668–79. http://dx.doi.org/10.1128/jvi.01667-15.

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ABSTRACTWe present the development and characterization of a replication-competent controlled herpes simplex virus 1 (HSV-1). Replication-essential ICP4 and ICP8 genes of HSV-1 wild-type strain 17syn+ were brought under the control of a dually responsive gene switch. The gene switch comprises (i) a transactivator that is activated by a narrow class of antiprogestins, including mifepristone and ulipristal, and whose expression is mediated by a promoter cassette that comprises an HSP70B promoter and a transactivator-responsive promoter and (ii) transactivator-responsive promoters that drive the ICP4 and ICP8 genes. Single-step growth experiments in different cell lines demonstrated that replication of the recombinant virus, HSV-GS3, is strictly dependent on an activating treatment consisting of administration of a supraphysiological heat dose in the presence of an antiprogestin. The replication-competent controlled virus replicates with an efficiency approaching that of the wild-type virus from which it was derived. Essentially no replication occurs in the absence of activating treatment or if HSV-GS3-infected cells are exposed only to heat or antiprogestin. These findings were corroborated by measurements of amounts of viral DNA and transcripts of the regulated ICP4 gene and the glycoprotein C (gC) late gene, which was not regulated. Similar findings were made in experiments with a mouse footpad infection model.IMPORTANCEThe alphaherpesviruses have long been considered vectors for recombinant vaccines and oncolytic therapies. The traditional approach uses vector backbones containing attenuating mutations that restrict replication to ensure safety. The shortcoming of this approach is that the attenuating mutations tend to limit both the immune presentation and oncolytic properties of these vectors. HSV-GS3 represents a novel type of vector that, when activated, replicates with the efficiency of a nonattenuated virus and whose safety is derived from deliberate, stringent regulation of multiple replication-essential genes. By directing activating heat to the region of virus administration, replication is strictly confined to infected cells within this region. The requirement for antiprogestin provides an additional level of safety, ensuring that virus replication cannot be triggered inadvertently. Replication-competent controlled vectors such as HSV-GS3 may have the potential to be superior to conventional attenuated HSV vaccine and oncolytic vectors without sacrificing safety.

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40

Wang, Shun Yuan, Chwan Lu Tseng, Shou Chuang Lin, Jen Hsiang Chou, Yung Shun Chang, and Wen Tsai Sung. "Hybrid Fuzzy-Sliding Control with Fuzzy Self-Tuning for Vector Controlled Drive Systems." Applied Mechanics and Materials 418 (September 2013): 96–99. http://dx.doi.org/10.4028/www.scientific.net/amm.418.96.

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The purpose of this study was to develop a hybrid fuzzy-sliding controller with fuzzy self-tuning (HFSC). This controller used a fuzzy supervisory system to allocate the output proportions of a sliding-mode controller and a fuzzy controller (FC). The sliding-mode controller primarily provides rapid control efforts in the transient state, and the FC mainly offers smooth control in the steady state and decreases the chatter phenomenon caused by the sliding-mode controller. Finally, the proposed HFSC was implemented in the vector controlled drive system of induction motor as the speed controller. The experimental results showed that the tracking performance and effects of the HFSC were superior to those of the FC.

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41

Krishnankutty, Jisha Lakshmi, Arekkadan Antony Powly Thomas, and Suresh Srivastava. "Quantitative feedback theory based robust speed control of vector controlled induction motor." Bulletin of Electrical Engineering and Informatics 12, no. 1 (February 1, 2023): 121–30. http://dx.doi.org/10.11591/eei.v12i1.4927.

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In this research paper a method for the robust speed control of Indirect Field orient controlled induction motor (IM) is proposed. The quantitative feedback theory (QFT) in implemented to design the controller in order to achieve the desired performance for the closed loop system in the presence of uncertainties and parameter variations. In this research work the QFT based controller is designed for the simplified model of IM. The worst case of uncertainties and all possible parameter variations are taken into consideration. The IM with the controller developed is simulated using the MATLAB/Simulink and the results are analyzed and compared with the conventional proportional integral derivative (PID) controller. The time domain and frequency domain analysis of both controllers were conducted and compared. A study on the nature of electromagnetic torque and control signal is also included to justify the effectiveness of proposed controller. The simulation results verify the superior performance of the proposed robust control method compared to PID controller.

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42

Panteleev, S. V., A. N. Malashin, D. V. Karkotskiy, and Yu V. Suchodolov. "Synthesis of the Algorithm of the Vector Width-Pulse Modulation in a Nine-Phase Active Voltage Rectifier." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 61, no. 4 (July 20, 2018): 334–45. http://dx.doi.org/10.21122/1029-7448-2018-61-4-334-345.

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The article is devoted to the problems of synthesis of multiphase electromechanic modules consisting of a multiphase electrical machine (m > 3) and a multiphase controlled converter. In the multi-phase design of the electric machine, it is possible to obtain a trapezoidal electromotive force and to increase the specific power conversion provided that the EMF and the current at the output of the m-phase generator are matched. The development of the vector pulse width modulation algorithm for the m-phase active voltage rectifier is considered, which will make it possible to match the shape and phase of the currents and voltages at the output of the m-phase generator in order to obtain the maximum active power of the module under study. The analysis of possible combinations of states of the keys of a nine-phase active rectifier is carried out. Each key state is assigned a base vector in a fixed coordinate system. It is noted that there are a number of combinations in which two or more different key states correspond to one base vector. The system of basic vectors is differentiated into its constituent levels, sectors and subsectors. In order to obtain any given voltage vector that does not coincide with the base vectors, the method of spacevector modulation is used. This method provides using 100 % DC link voltage as compared with sinusoidal pulse width modulation (86.6 %). The goal of space-vector modulation for a nine-phase active voltage rectifier is to implement the resultant spatial vector of the output voltage with a given average value within the modulation period. For this, the three vectors nearest to the given base vector must be found. To implement a given voltage vector, a sequence of sampling the base vectors in the modulation period is given, providing one commutation (commutation of two complementary keys) while passing from one basic vector to another to reduce switching losses. Analytic relationships of the weight coefficients for the generators of vectors are obtained, as well as the equations of the boundaries of the subsectors that form a diagram of combinations of states of the circuit. The sequence of the calculations presented in the paper is a technique for realizing the vector pulse-width modulation in nine-phase controlled electrical energy converters.

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Yang, Xinghua, Jianguo Jiang, and Xijun Yang. "Vector operation of one-cycle controlled matrix rectifier." Archives of Electrical Engineering 61, no. 2 (June 1, 2012): 149–64. http://dx.doi.org/10.2478/v10171-012-0014-2.

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Vector operation of one-cycle controlled matrix rectifier A novel vector operated one-cycle control matrix rectifier (OCC-MR) is proposed in this paper. Matrix rectifier (MR) is a generalized buck three-phase AC-DC converter with four-quadrant operation capability. MR can also be the front-stage circuit of AC-DC-AC equivalent structure of MC. One-cycle control (OCC) is a nonlinear control technique, which integrates modulation algorithm and control strategy. By applying OCC to current control loop, the OCC-MR achieves balance only in a switching cycle, and realizes unitary input power factor. Furthermore, vector operation of OCC results in minimum switching losses. In order to make up for the insufficiency of OCC on load disturbance suppression, a PID controller is added onto output voltage control to improve load regulation. The OCC-MR features great simplicity, fast dynamic response and good immunity on input disturbance. On the basis of theoretical analysis, a systematic simulation of OCC-MR is implemented by means of Matlab/Simulink. Both static state performance and dynamic state performance of OCC-MR are discussed deeply. The simulation results have proved theoretical analysis of the vector operation of OCC-MR, and the control effects are satisfactory.

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Prasad, Lal Bahadur, Krishna Pratap Singh, and Hema Latha Javvaji. "Performance analysis of neuro-fuzzy position controller for vector controlled induction motor drive." International Journal of Fuzzy Computation and Modelling 1, no. 2 (2014): 131. http://dx.doi.org/10.1504/ijfcm.2014.067122.

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Shaija, P. J., and Asha Elizabeth Daniel. "An Intelligent Speed Controller Design for Indirect Vector Controlled Induction Motor Drive System." Procedia Technology 25 (2016): 801–7. http://dx.doi.org/10.1016/j.protcy.2016.08.177.

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Orlowska-Kowalska, T., and M. Dybkowski. "Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 1 (March 1, 2012): 61–70. http://dx.doi.org/10.2478/v10175-012-0010-0.

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Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct rotor-field oriented control (DRFOC) of the induction motor (IM) drive structure. Connective weights of the controller are trained on-line according to the error between the actual speed of the drive and the reference model output signal. The rotor flux and speed of the vector controlled induction motor are estimated using the model reference adaptive system (MRAS) - type estimator. Presented simulation results are verified by experimental tests performed on the laboratory-rig with DSP controller.

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M, Karthika. "Vector Controlled 3Phase Induction Motor Drive using Photovoltaic." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (January 31, 2018): 3070–79. http://dx.doi.org/10.22214/ijraset.2018.1425.

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Werner, Lennart, Michael Strohmeier, Julian Rothe, and Sergio Montenegro. "Thrust Vector Observation for Force Feedback-Controlled UAVs." Drones 6, no. 2 (February 17, 2022): 49. http://dx.doi.org/10.3390/drones6020049.

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This paper presents a novel approach to Thrust Vector Control (TVC) for small Unmanned Aerial Vehicles (UAVs). The difficulties associated with conventional feed-forward TVC are outlined, and a practical solution to conquer these challenges is derived. The solution relies on observing boom deformations that are created by different thrust vector directions and high-velocity air inflow. The paper describes the required measurement electronics as well as the implementation of a dedicated testbed that allows the evaluation of mid-flight force measurements. Wind-tunnel tests show that the presented method for active thrust vector determination is able to quantify the disturbances due to the incoming air flow.

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Keesmaat, N. W., H. C. M. Kleijn, and G. Rozenberg. "Vector Controlled Concurrent Systems Part I: Basic Classes." Fundamenta Informaticae 13, no. 3 (July 1, 1990): 275–316. http://dx.doi.org/10.3233/fi-1990-13305.

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A model of concurrent systems, called Vector Controlled Concurrent Systems, is introduced. It generalizes the vector synchronization mechanism used in path expressions (COSY). In this first part of the paper, which consists of two parts, the basic model is introduced and motivated, and then a distinction is made between static and dynamic submodels.

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V.Kamaraj, K. Vijayakumar,. "Power Factor Improvement of Vector Controlled PMSM Drives." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, no. 03 (March 20, 2015): 1550–63. http://dx.doi.org/10.15662/ijareeie.2015.0403038.

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