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1

Smiai, Mohamed Salah. "Speed control of wound-rotor induction motor using thyristors to control rotor external resistance". Thesis, University of Bradford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253409.

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2

Burnham, David James. "Control of wind turbine output power via a variable rotor resistance". Thesis, [Austin, Tex. : University of Texas, 2009. http://hdl.handle.net/2152/ETD-UT-2009-05-105.

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3

BELMONTE, DARIO. "MODEL BASED CORRELATION METHODS FOR FAULTS DETECTION AND IDENTIFICATION ALGORITHMS ON ELECTROMECHANICAL ACTUATORS USED IN PRIMARY FLIGHT CONTROL SYSTEMSMODEL BASED CORRELATION METHODS FOR FAULTS DETECTION AND IDENTIFICATION ALGORITHMS ON ELECTROMECHANICAL ACTUATORS USED IN PRIMARY FLIGHT CONTROL SYSTEMS". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2746072.

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4

Li, Tianya. "Electromechanical wave propagation phenomenon and its control implications in power systems". Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/95962/1/Tianya_Li_Thesis.pdf.

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Streszczenie:
This thesis investigates advanced control methods and strategies to enhance the transient stability of a power system which is affected by the electromechanical wave propagation phenomenon. The characteristics of the travelling wave phenomenon and its impact on system separation during first swing are investigated in detail. This thesis identifies four innovative control implications for power system stability and proposes an improved method to enhance power system transient stability. By designing better control of existing equipment, this research achieves increased maximum power transfer under contingencies in a cost efficient and readily implemented way.
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5

YADAV, ASHUTOSH. "STATIC ROTOR RESISTANCE CONTROL OF INDUCTION MOTOR". Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15301.

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this thesis the hardware prototype for static rotor resistance control is developed. Speed of the three phase wound rotor induction motor is controlled by varying the rotor resistance. The variation of rotor resistance is done by controlling the MOSFET using pulse width modulation (PWM). The switching action of MOSFET is controlled by the arduino microcontroller. The switching gate pulse is generated by the arduino microcontroller, which controls the duty ratio of MOSFET switch. The duty ratio of switch varies the rotor resistance and controls the wound rotor induction motor speed. PSIM9.1.1 is used for the simulation purpose and validates the results in open loop as well as closed loop control of three phase induction motor.
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6

ZHENG, HONG-LIANG, i 鄭宏良. "Starting control of a wound-rotor induction motor by chopper controlled resistance in the rotor circuit". Thesis, 1988. http://ndltd.ncl.edu.tw/handle/01124884219304233095.

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7

Chang, Ren-Jye, i 張仁杰. "Nonlinear adaptive sensorless speed control for induction motors considering rotor resistance variation". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/96270017087503668651.

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Streszczenie:
碩士
國立臺灣大學
電機工程學系
85
In this thesis, a nonlinear adaptive sensorless speed controller for inductionmotors is proposed. In the controller, only the stator currents are assumed tobe measurable. Flux observers and rotor speed estimator are designed to relaxthe need of flux and speed measurement. Besides, an estimator is also designedto overcome drifting problem of the rotor resistance. Rigorous stability analysisbased on Lyapunov theory is also performed to guarantee that the controllerdesigned here is stable. Computer simulations and experiments are done to demonstrate the performance of our design.
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8

Chen, Jenn-Yih, i 陳進益. "Passivity-Based Position Control and Rotor Resistance Estimation for an Induction Motor". Thesis, 2002. http://ndltd.ncl.edu.tw/handle/72324371792739352569.

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Streszczenie:
博士
國立臺灣科技大學
電機工程系
90
This dissertation presents passivity-based adaptive control and sliding mode control schemes for the position control of an induction motor. First, the mathematical model of the induction motor in the synchronously rotating reference frame is derived from the three-phase circuit via the coordinate transformation. There is no need to design a rotor flux observer when the electrical parameters of the induction motor are known. The dynamics of the induction motor and the position controllers are analyzed to be passive by the passivity theorem. Furthermore, one can also design a rotor resistance observer and a sliding mode controller to estimate the rotor resistance and control the position of the induction motor. First, the input-output linearization theory is employed to decouple the rotor position and the flux amplitude in the rotor reference frame. Then, a flux observer is adopted to estimate the rotor flux. The passive properties of the rotor resistance observer with the flux observer and the sliding mode position controller are analyzed by the passivity theorem. The stability analysis of the overall position control system is carried out by using the passivity theorem instead of Lyapunov-type arguments. Finally, the C language is used to implement the proposed control algorithm on a PC-based controller, and applied to a three-phase induction motor for the position control purpose. Experimental results are provided to show good position response and fast convergent speed of the estimated parameters for the composite adaptive controller. The proposed sliding mode position controller with an adaptive law is valid for eliminating the chattering effects associated with a conventional sliding mode position controller. When the rotor resistance is varied with the temperature, the proposed rotor resistance observer with a sliding mode controller are effective in estimating the rotor resistance, load torque disturbances and tracking the rotor position.
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9

Wang, Yen-Kai, i 王衍凱. "EKF-based rotor and stator resistance estimation in speed sensorless control of IMs". Thesis, 2010. http://ndltd.ncl.edu.tw/handle/25853837561782475094.

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Streszczenie:
碩士
國立臺灣科技大學
機械工程系
98
The system parameters of induction motor(IM) vary with different operating conditions. The temperature-dependent variation of the stator and rotor resistance, which induces a large estimation error on speed and flux, has been a critical issue for speed-sensorless control. On speed-sensorless control, the observer is as important as the controller. The noise immunity and real time estimation ability of Extended Kalman filter(EKF)-based observer lead to a popular application in the field of speed-sensorless control. However, the simultaneous estimation of stator and rotor resistance based on EKF in speed-sensorless control of IMs has not been done to the best of author's knowledge. A novel EKF-based estimation method is proposed for simultaneous estimation of stator and rotor resistance. The simultaneous estimation is achieved by an augmented state for the stator temperature dynamics. The broken-bar phenomenon of rotor can also be detected in the case we studied. Simulation results display promising robustness to variation of system parameters.
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10

Lee, An-Ming, i 李安明. "Nonlinear Adaptive Speed and Torque Servo Control of Induction Motors with Unknown Rotor Resistance". Thesis, 1996. http://ndltd.ncl.edu.tw/handle/93541907705286384032.

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Streszczenie:
碩士
國立臺灣大學
電機工程研究所
84
In this thesis, we propose a nonlinear adaptive speed and torque controller of induction motors with unknown rotor resistance and build a voltage-driven induction motor driver. All the system parameters except rotor resistance are assumed to be known and only the stator currents and rotor speed are assumed to be available. The desired speed and torque should be any continuously differentiable bounded function. A complete proof of the global stability without singularity is given and the output error will converge to zero asymptotically. Finally, the simulation and experimental results will be given to demonstrate the effectiveness.
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11

Reed, David M. Hofmann Heath F. "Direct field-oriented control of an induction machine using an adaptive rotor resistance estimator". 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4238/index.html.

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12

Fang, Chih-Kuo, i 方治國. "Speed sensorless Indirect-Field-Oriented Control of Induction Motor Drive with Rotor Resistance Adaptation". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/09572644585527960761.

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Streszczenie:
碩士
國立中央大學
電機工程學系
85
In this paper, speed sensorless indirect-field-oriented control of inductionmotor drive with rotor resistance adaptation is presented. Several field-oriented induction motor drive methods without rotational transducershave been proposed. These methods have a disadvantage that the rotor resistance variation causes estimation error of the motor speed. Therefore, simultaneous estimation of the motor speed and the rotor resistance is required. First, this paper presents a method of estimating simultaneously and independently the motor speed and the rotor time-constant of an induction motor based on theory of model reference adaptive system (MRAS). Next, we incorporate our estimators intothe VSS speed controller proposed. Finally, the validity and feasibility of the proposed method is verified by simulation and experimental results.
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13

Chin-Yu, Tsai, i 蔡錦煜. "Nonlinear Sensorless Indirect Adaptive Position and Speed Control of Induction Motor with Unknown Rotor Resistance". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/41881096632407579807.

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Streszczenie:
碩士
國立臺灣大學
電機工程學研究所
87
In this thesis, a nonlinear indirect adaptive sensorless speed/position tracking controller for induction motors is proposed. In the controller, only the stator currents are assumed to be measurable. The rotor flux, position and speed observer are designed to relax the need of flux and position measurement. Besides, the rotor resistance estimators are also designed to cope with the drifting problem. Rigorous stability analysis based on Lyapunov theory is also performed to guarantee that the controller designed here is stable. Also, the computer simulations and experiments are done to demonstrate the performance of our design.
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14

Lin, Yu-Chao, i 林郁超. "Nonlinear Sensorless Indirect Adaptive Speed Control of Induction Motor with Unknoen Rotor Resistance and Load". Thesis, 1998. http://ndltd.ncl.edu.tw/handle/68668568647395009161.

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Streszczenie:
碩士
國立臺灣大學
電機工程學系
86
In this thesis, a nonlinear indirect adaptive sensorless speed and flux tracking controller for induction motors is proposed. In the controller, only the stator currents are assumed to be measurable. Flux observers and rotor speed estimator are designed to relax the need of flux and speed measurement. Besides, two estimators are also designed to overcome drifting problem of the rotor resistance and unknown load torque. Rigorous stability analysis based on Lyapunov theory is also performed to guarantee that the controller designed here is stable. Computer simulations and experiments are done to demonstrate the performance of our design.
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15

Liou, Yi-Jr, i 劉奕志. "Nonlinear adaptive speed tracking control of induction motors with unknown rotor resistance and load torque". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/18786891835156169223.

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Streszczenie:
碩士
國立臺灣大學
電機工程學系
85
In this thesis, we propose a nonlinear adaptive speed tracking controller for induction motors with unknown rotor resistance and load torque parameters. Only the stator currents and the rotor speed are assumed to be measurable. The desired speed should be any continuously differentiable boundedfunction. We alsogive a complete proof of global stability withoutsingularities which shows that the output error converges to zeroasymptotically. Finally, the simulation and experimental results areprovided to demonstrate the effectiveness.
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16

Hsu, Shuen-Jan, i 許舜然. "Artificial Intelligence based Rotor Resistance and Speed Estimation in Speed-Sensorless Control of Induction Motor". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/15869271042286619140.

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Streszczenie:
碩士
國立臺灣科技大學
機械工程系
104
The performance of sensorless control of induction motors (IMs) is dramat- ically affected by the variation of parameters such as rotor resistance especially at low speeds and heavy loads. A novel hybrid artificial neural network (HANN), including a cerebellar model adaptive controller (CMAC) and an adaptive linear element (ADALINE), is developed in this thesis to estimate the rotor resistance and the motor speed simultaneously. On the other hand, a self-tuning PI-type fuzzy logic controller (FLC) is used to achieve motor speed control based on the speed estimate. Experimental results show that the proposed sensorless speed con- trol strategy achieves accurate speed control even at low speed and under loaded conditions.
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17

SONKAR, AVINASH. "ROTOR RESISTANCE ESTIMATION USING REACTIVE POWER BASED MRAS TECHNIQUE OF VECTOR CONTROL OF INDUCTION MOTOR". Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16297.

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The induction motors are the most famous and widely used machines in most of the industrial as well as in domestic applications due to its simplicity and low cost. When the variable speed applications are required the induction machines are used. For induction machines, variable speed drives requires both fast torque response as well as wide operating range of speed. Indirect vector control of induction motor is somewhat predictive method, where the speed of the rotor flux is predicted from slip speed and rotor speed. The rotor speed may be obtained either from the estimation method or from speed sensors. If due to a temperature change, there is any variation in the rotor time constant it may lead to uneven orientation of the flux and hence dynamic performance of the drive deteriorates. The continuous online estimation of rotor time constant or rotor resistance is very crucial for the flux orientation which subjected to the change of rotor time constant for variation in temperature. Due to lost in orientation of the flux, the coupling effect makes the performance of the induction motor drive slightly sluggish. Model reference adaptive system (MRAS) method is incorporated for the online estimation of the machine parameter. Model reference adaptive system controller using the reactive power (Q) is presented here, for the online estimation of the rotor resistance to maintain the flux orientation constant and fixed in an indirect vector control of induction motor drive. The formation of MRAS with the steady-state and instantaneous reactive power eliminates the estimation of flux. Reactive power based MRAS estimator is less prone to the integral problems like drift and saturation. Simulation results have presented to confirm the effectiveness of the technique.
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18

Bhattacharya, Tanmoy. "Flux Estimation, Parameter Adaptation And Speed Sensorless Control For Vector Controlled Induction Motor Drive". Thesis, 2005. https://etd.iisc.ac.in/handle/2005/1406.

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19

Bhattacharya, Tanmoy. "Flux Estimation, Parameter Adaptation And Speed Sensorless Control For Vector Controlled Induction Motor Drive". Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1406.

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