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1
Zhang, Wei. "Advanced control of induction motors." Thesis, University of Liverpool, 2013. http://livrepository.liverpool.ac.uk/15033/.
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The current industrial standard for the control of the induction motor is the so called vector control (VC) or field-orientated control (FOC) which transforms and controls the induction motor as a direct current (DC) motor. Besides its many advantages, such as fast and decoupled dynamics of speed and flux, it is well known that VC depends on the detailed system model and is very sensitive to parameter uncertainties and external disturbance (load torque). To clarify further the VC is a only a partial feedback linearising control which can achieve the decoupling of speed and flux asymptotically. The coupling still exists when flux is not kept in constant, i.e. when flux is weakened in order to operate the motor at a higher speed and keep the input voltage within saturation limits, or when flux is adjusted to maximize power efficiency of the motor with light load. The thesis will summarise research of advanced control approaches of induction motors in Chapter One. The Chapter Two starts on building a fifth-order nonlinear dynamic model of an induction motor and then recalls the principal of traditional VC of induction motors. The differential-geometric technique based nonlinear control has developed for induction motors, which can convert some intractable nonlinear problems into simpler problems by familiar linear system methods. The partial decoupled dynamic of the conventional VC has been investigated via feedback linearisation control (FLC) at first. Then input-output linearisation control is applied to design a fully decoupled control of the dynamics of speed and flux. To remove the weak robustness and the requirement of an accurate model of the VC and FLC, a novel nonlinear adaptive control of induction motor is designed based on feedback linearisation control and perturbation estimation. The induction motor will be represented as a two coupled interconnected subsystems: rotor speed subsystem and rotor flux subsystem, respectively. System perturbation terms are defined to include the lumped term of system nonlinearities, uncertainties, and interactions between subsystems and are represented as a fictitious state in the state equations. Then perturbations are estimated by designing perturbation observers and the estimated perturbations are employed to cancel the real system perturbations, assumed all internal states are measured. The designed nonlinear adaptive control doesn’t require the accurate model of the induction motor and has a simpler algorithm. It can fully decouple the regulation of rotor speed and rotor flux and handle time-varying uncertainties. The parameter estimations based on nonlinear adaptive controls can only deal with unknown constant parameters and are not suitable for handling fast time-varying and functional uncertainties. Nonlinear adaptive control based on output measurements is addressed in Chapter Five, assuming that the rotor speed and the stator volatge/currents are measurable. A sliding mode rotor flux observer has been designed based on the stator voltage and current. Moreover, two third-order state and perturbation observers are designed to estimate the unmeasured states and perturbation, based on the rotor speed and the estimated rotor flux. Simulation studies have been carried out for verifying the effectiveness of the proposed advanced controllers and compared with the conventional VC and model based FLC.
2
Zhang, Zaining. "Sensorless vector control for induction motors." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340849.
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Sevinc, Ata. "Speed sensorless control of induction motors." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364962.
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Khiyo, Sargon. "Neuro/fuzzy speed control of induction motors." Thesis, View thesis, 2002. http://handle.uws.edu.au:8081/1959.7/554.
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The thesis involved the design, implementation and testing of a second order neuro-fuzzy controller for the speed control of an AC induction motor, and a comparison of the neuro-fuzzy controller's performance with that of the PI algorithm. It was found experimentally, that the operating temperature of the AC induction motor affected the ability of the PI controller to maintain the set speed. The linear PI algorithm approximation was observed to produce transient speed responses when sudden changes in load occurred. The neuro-fuzzy design was found to be quite involved in the initial design stages. However, after the initial design, it was a simple matter of fine-tuning the algorithm, to optimize performance for any parameter variations of the motor due to temperature or due to sudden changes in load. The neuro-fuzzy algorithm can be developed utilising one of two methods. The first method utilises sensor-less control by detailed modeling of the induction motor; where all varying parameters of the motor are modeled mathematically. This involves using differential equations, and representing them in the form of system response block diagrams. When the overall plant transfer function is known, a fuzzy PI algorithm can be utilised to control the processes of the plant. The second method involves modeling the overall output response as a second order system. Raw data can then be generated in a text file format, providing control data according to the modeled second order system. Using the raw data, development software such as FuzzyTECH is utilised to perform supervised learning, so to produce the knowledge base for the overall system. This method was utilised in this thesis and compared to the conventional PI algorithm. The neuro-fuzzy algorithm implemented on a PLC was found to provide better performance than the PI algorithm implemented on the same PLC. It provided also in the added flexibility for further fine-tuning and avoided the need for rigorous mathematical manipulation of linear equations
5
Khiyo, Sargon, University of Western Sydney, of Science Technology and Environment College, and School of Engineering and Industrial Design. "Neuro/fuzzy speed control of induction motors." THESIS_CSTE_EID_Khiyo_S.xml, 2002. http://handle.uws.edu.au:8081/1959.7/554.
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The thesis involved the design, implementation and testing of a second order neuro-fuzzy controller for the speed control of an AC induction motor, and a comparison of the neuro-fuzzy controller's performance with that of the PI algorithm. It was found experimentally, that the operating temperature of the AC induction motor affected the ability of the PI controller to maintain the set speed. The linear PI algorithm approximation was observed to produce transient speed responses when sudden changes in load occurred. The neuro-fuzzy design was found to be quite involved in the initial design stages. However, after the initial design, it was a simple matter of fine-tuning the algorithm, to optimize performance for any parameter variations of the motor due to temperature or due to sudden changes in load. The neuro-fuzzy algorithm can be developed utilising one of two methods. The first method utilises sensor-less control by detailed modeling of the induction motor; where all varying parameters of the motor are modeled mathematically. This involves using differential equations, and representing them in the form of system response block diagrams. When the overall plant transfer function is known, a fuzzy PI algorithm can be utilised to control the processes of the plant. The second method involves modeling the overall output response as a second order system. Raw data can then be generated in a text file format, providing control data according to the modeled second order system. Using the raw data, development software such as FuzzyTECH is utilised to perform supervised learning, so to produce the knowledge base for the overall system. This method was utilised in this thesis and compared to the conventional PI algorithm. The neuro-fuzzy algorithm implemented on a PLC was found to provide better performance than the PI algorithm implemented on the same PLC. It provided also in the added flexibility for further fine-tuning and avoided the need for rigorous mathematical manipulation of linear equations<br>Master of Engineering (Hons)
6
Wong, D. "Speed control of three-phase induction motors." Thesis, University of Reading, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376194.
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Lüdtke, Ingo. "The direct torque control of induction motors." Thesis, University of South Wales, 1998. https://pure.southwales.ac.uk/en/studentthesis/the-direct-torque-control-of-induction-motors(5b85e666-04b6-493b-b615-c5e2144d03c6).html.
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This thesis is mainly devoted to the investigation of speed control methods of three phase, cage rotor induction motors with particular emphasis being given to vector control and direct torque control techniques. Modern control strategies such as vector control and direct torque control are investigated as well as the conventional methods such as open loop (constant V/f) operation. A number of different pulse width modulation (p.w.m.) waveform generation strategies are simulated and discussed and their application to the above speed control systems fully investigated. A 3kW, three phase induction motor drive has been designed and experimental data obtained from it in order to verify the results achieved by simulation. It is shown that direct torque control achieves decoupling of the motor torque and the motor flux without the use of a co-ordinate transform. A variation of the direct torque control algorithm has also been developed and implemented. It is shown, that by using different switching tables for the selection of voltage vectors, the performance of direct torque control can be further improved. Further insight into the nature of direct torque control has been gained from the study of the effect of the application of inverter switch settings, or the application of corresponding voltage vectors, on the motor flux and torque. It has been found that the range of torque variation of the motor drive system depends strongly on both the motor load torque and the motor speed. The results of the work reported indicate that the range of torque variation for a drive system which strongly depends on motor load torque and motor speed is considerably reduced by the novel direct torque control system resulting from the research. The control algorithms have been implemented on 32 bit micro processors which facilitate the use of parallelism in both the hardware and the software design. The resulting system is capable of controlling a three phase induction motor with variable voltage and variable frequency with control strategies such as six step operation, symmetric and asymmetric regular and natural sampled p.w.m. waveforms, sigma delta modulation methods, space vector modulation techniques, flux vector control and direct torque control.
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Khiyo, Sargon. "Neuro/fuzzy speed control of induction motors /." View thesis, 2002. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030925.144725/index.html.
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Thesis (M. E. (Hons))--University of Western Sydney, 2002.<br>"A thesis submitted for Master of Engineering (Honours), School of Engineering & Industrial Design, University of Western Sydney, October 2002" Bibliography: leaves 147 - 149.
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Zhang, Pinjia. "Active thermal protection for induction motors fed by motor control devices." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34811.
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Induction motors are widely used in industrial processes. The malfunction of a motor may not only lead to high repair costs, but also cause immense financial losses due to unexpected process downtime. Since thermal overload is one of the major root causes of stator winding insulation failure, an accurate and reliable monitoring of the stator winding temperature is crucial to increase the mean time to catastrophic motor breakdown, and to reduce the extraordinary financial losses due to unexpected process downtime.
To provide a reliable thermal protection for induction motors fed by motor control devices, a dc signal-injection method is proposed for in-service induction motors fed by soft-starter and variable-frequency drives. The stator winding temperature can be monitored based on the estimated stator winding resistance using the dc model of induction motors. In addition, a cooling capability monitoring technique is proposed to monitor the cooling capability of induction motors and to warn the user for proactive inspection and maintenance in the case of cooling capability deterioration. The proposed cooling capability monitoring technique, combined with the proposed stator winding temperature monitoring technique, can provide a complete thermal protection for in-service induction motors fed by motor control devices.
Aside from online thermal protection during a motor's normal operation, the thermal protection of de-energized motors is also essential to prolong a motor's lifetime. Moisture condensation is one of the major causes to motor degradation especially in high-humidity environments. To prevent moisture condensation, a non-intrusive motor heating technique is proposed by injecting currents into the motor stator winding using soft-starters. A motor's temperature can be kept above the ambient temperature due to the heat dissipation, so that the moisture condensation can be avoided.
To sum up, active stator winding temperature estimation techniques for induction motors under both operating and de-energization conditions are proposed in this dissertation for both thermal protection and optimizing the operation of a motor system. The importance of these proposed techniques lies in their non-intrusive nature: only the existing hardware in a motor control device is required for implementation; a motor's normal operation is not interrupted.
10
Arias, Pujol Antoni. "Improvements in direct torque control of induction motors." Doctoral thesis, Universitat Politècnica de Catalunya, 2001. http://hdl.handle.net/10803/6317.
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This thesis is mainly devoted to the investigation of speed control methods for three phase cage induction motors with particular emphasis being given to Direct Torque Control (DTC) improved techniques.<br/>Classical Direct Torque Control has inherent disadvantages such as: problems during starting resulting from the null states, the compulsory requirement of torque and flux estimators, and torque ripple. In the classical DTC induction motor drive a voltage vector is applied for the entire period, and this causes the stator current and electromagnetic torque exceeds its reference value early during the cycle, causing a high torque ripple. Switching cycles then follows this, in which the zero switching vectors are applied in order to reduce the electromagnetic torque to reference value. This thesis suggests a technique based on applying to the inverter the selected active states just enough time to achieve the torque and flux references values. The rest of the switching period a null state is selected which won't almost change both the torque and the flux. Therefore, a duty ratio has to be determined each switching time. By means of varying the duty ratio between its extreme values (0 up to 1) it is possible to apply any voltage to the motor. The optimum duty ratio per sampling period is a non-linear function of the electromagnetic torque error, the stator flux position and the working point, which is determined by the motor speed and the electromagnetic torque. It is obvious that it is extremely difficult to model such an expression since it is a different non-linear function per working point. Therefore, this thesis is focused on performing a fuzzy-logic-based duty-ratio controller, where the optimum duty ratio is determined every switching period. Additionally, this Fuzzy Controller is adaptive and may be applied to any induction motor.<br/>A stator flux reference optimum controller is also designed, which not only helps to achieve a smaller torque ripple, but also reduces the reactive power consumption of the drive taken from the main supply. This is achieved by changing the stator flux reference value with reference being made to the correspondent torque reference value. Therefore, the stator flux reference value chosen is to be just of sufficient value to produce the desired torque <br/>Simulated results are shown in order to compare the classical DTC and the Fuzzy Logic based DTC.<br/>The control algorithms have been implemented on a PC/DSP based board that facilitates the use of parallelism in software design. A 1.5kW, three-phase induction motor drive has been designed and experimental data obtained from it in order to verify the results achieved by simulation.
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del, Toro GarciÌa Xavier. "Improvements in direct torque control of induction motors." Thesis, University of South Wales, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446106.
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Jin, Changxi. "Sliding mode control and estimation of induction motors." Connect to resource, 1997. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1157659298.
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Kneebone, Nigel J. "Efficiency and speed control of three-phase induction motors." Thesis, University of Reading, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277167.
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王化謙 and Huaqian Wang. "A novel sliding mode control method for induction motor drives." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31234495.
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Wang, Huaqian. "A novel sliding mode control method for induction motor drives /." [Hong Kong] : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B15970073.
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Comanescu, Mihai. "Flux and speed estimation techniques for sensorless control of induction motors." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1116338965.
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Thesis (Ph.D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xv, 109 p.; also includes graphics. Includes bibliographical references (p. 106-109). Available online via OhioLINK's ETD Center
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Kelly, John William. "A novel control scheme for a pole-changing induction motor drive." Diss., Connect to online resource - MSU authorized users, 2007.
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Thesis (Ph. D.)--Michigan State University. Dept. of Electrical Engineering, 2007.<br>Title from PDF t.p. (viewed on Apr. 16, 2009) Includes bibliographical references (p. 113-114). Also issued in print.
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VERRELLI, CRISTIANO MARIA. "NON LINEAR CONTROL DESIGN FOR INDUCTION MOTORS AND SYNCHRONOUS GENERATORS." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2005. http://hdl.handle.net/2108/179.
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La tesi presenta recenti sviluppi nel progetto di leggi di controllo non lineari per motori ad induzione e generatori sincroni: tecniche di controllo robuste, adattative, in retroazione dallo stato o dall'uscita sono utilizzate per tali sistemi elettromeccanici descritti da equazioni differenziali ordinarie, deterministiche e
¯nito-dimensionali e possibilmente caratterizzati da incertezze come parametri non noti (costanti o tempovarianti).
I motori ad induzione, che, grazie alla loro più semplice struttura, sono più affidabili e meno costosi di quelli a magneti permanenti, a riluttanza variabile e in corrente continua, sono difficili da controllare per diverse ragioni: le dinamiche sono intrinsecamente non lineari e multivariabile (due ingressi di controllo e due uscite da controllare) ; non tutte le variabili di stato e non tutte le uscite da controllare possono essere disponibili per la retroazione; sono presenti parametri critici incerti, come la coppia di carico, tipicamente non nota in tutti i motori elettrici e la resistenza rotorica, che può variare fino al 100 % durante il funzionamento a causa del riscaldamento del rotore. La disponibilità di potenti DSP a basso costo e i
progressi nell'elettronica di potenza hanno reso algoritmi complessi implementabili anche per motori ad induzione di media e piccola taglia, che, in tal modo, sono effettivamente in grado di sostituire i motori elettrici usati, ammesso che siano garantite alte prestazioni dinamiche ed elevata e±cienza: ciò ha motivato intensi sforzi di ricerca nel progetto di controllori non lineari per motori ad induzione.
In modo analogo, la stabilizzazione transitoria e la regolazione della tensione per sistemi di potenza sono problemi di controllo classicamente di±cili: tutti i modelli dinamici che sono stati proposti per una singola macchina connessa a un in ¯ n ite bu s mostrano una intrinseca natura non lineare e, di conseguenza, diversi punti di equilibrio stabili e instabili. Primi studi miravano alla determinazione di regioni di stabilità delle condizioni operative desiderate, via funzioni di Lyapunov, cosi da studiare l'effetto delle improvvise perturbazioni meccaniche e elettriche che possono destabilizzare il sistema e forzare il singolo generatore
ad essere disconnesso dalla rete. Il problema consiste dunque nel mantenere la velocità del generatore prossima alla velocità sincrona quando perturbazioni occorrono (stabilizzazione transitoria) e regolare la tensione di uscita al corrispondente valore di riferimento nel caso di perturbazioni costanti e permanenti (regolazione della tensione in uscita). A tal riguardo, i controllori lineari realmente impiegati, progettati sulla base di approssimazioni lineari attorno alle condizioni operative, non sono in grado di sostenere le forti perturbazioni che tipicamente occorrono nei sistemi di potenza: controllori non lineari sono di conseguenza
richiesti.
La tesi è suddivisa in due parti: la prima parte (motore ad induzione) è formata dai capitoli 2, 3 e 4, mentre la seconda parte (generatore sincrono) consiste dei capitoli 5 e 6. I capitoli 2 e 3 affrontano il problema del controllo di motori ad induzione senza sensore di velocità: l'esistenza di uno schema di controllo globale è esplorata nel capitolo 2 mentre una legge di controllo non lineare adattativa è progettata nel capitolo 3. Il capitolo 4 è dedicato al progetto di un controllore non lineare per motori ad induzione
sen so rless: uno schema di controllo in retroazione dall'uscita è proposto. I capitoli 5 e 6 concernono il problema del controllo di un generatore sincrono con incertezze nei parametri: nel capitolo 5, un controllore non lineare robusto adattativo è presentato per la stabilizzazione transitoria, mentre il capitolo 6 propone
una legge di controllo non lineare robusta adattativa che garantisce sia stabilizzazione transitoria che regolazione della tensione in uscita.<br>The thesis incorporates recent advances in the design of nonlinear control laws for induction motors and synchronous generators: robust, adaptive, state or output feedback control techniques are used for both these electro-mechanical systems which are modelled by ¯nite dimensional, deterministic ordinary
differential equations and are possibly affected by uncertainties, such as unknown constant and time-varying parameters.
Induction motors, which, due to their simpler construction, are more reliable and less expensive than those permanent magnet, switched reluctance and d.c. motors are di±cult to control for several reasons: their dynamics are intrinsically nonlinear and multivariable (two control inputs and two outputs to be controlled); not all of the state variables and not all of the outputs to be controlled may be available for feedback; there are critical uncertain parameters such as load torque, which is typically unknown in all
electrical drives, and rotor resistance, which, due to rotor heating, may vary up to 100% during operations. The availability of low cost powerful digital signal processors and advances in power electronics made complex algorithms implementable even for medium- and small-size induction motors, which, in this way, could replace currently used motors provided that high dynamic tracking performance along with highpower efficiency are achieved: this is what motivated intense research efforts in induction motor control design.
In analogous way, transient stabilization and voltage regulation for power systems are classically difficult control problems: all the dynamic models which have been developed for a single machine connected to an in¯nite bus show an intrinsic nonlinear nature and, consequently, there are several stable and unstable equilibrium points. Early studies aimed at determining the stability regions of desired operating conditions
by means of Lyapunov functions in order to study the effect of perturbations. In fact, sudden mechanical and electrical perturbations may drive the system outside its stability region and force the generator to be disconnected from the network. The transient stabilization and voltage regulation problem consists in the design of an excitation control which keeps the generator speed close to the synchronous speed when perturbations occur (transient stabilization) and regulates the output voltage to the corresponding reference value in the case of permanent constant perturbations (voltage regulation). To this purpose, linear controllers are actually employed which are designed on the basis of linear approximations around operating conditions: only small perturbations and deviations from operating conditions can be handled. It is clear that nonlinear controllers are required to handle the large perturbations that typically occur in
power systems. The thesis is divided into two parts: Part I (induction motor) consists of Chapters 2, 3 and 4 while Part II (synchronous generator) consists of Chapters 5 and 6. Chapters 2 and 3 address the problem of controlling a speed-sensorless induction motor: the existence of a global controller is explored in Chapter
2, while a nonlinear adaptive control scheme is developed in Chapter 3. Chapter 4 is devoted to nonlinear control design for a sensorless induction motor: an output feedback control algorithm is proposed. Chapters 5 and 6 address the problem of controlling a synchronous generator with parameter uncertainty: a nonlinear robust adaptive transient stabilizing control is presented in Chapter 5, while Chapter 6 proposes a nonlinear robust adaptive transient stabilizing and output regulating control algorithm.
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Saleh, Kamel Subhi. "Sensorless Control of High Power Induction Motors Using Multilevel Converters." Thesis, University of Nottingham, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523161.
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Pavuluri, Vamsi Krishna. "Field Oriented Control of Induction Motors Based on DSP Controller." Thesis, Southern Illinois University at Edwardsville, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1582873.
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<p> Induction Motor is the most widely used industrial workhorse due to its reliability and high robustness, low cost and good efficiency. Field oriented control technique (FOC) of AC machines facilitates the dynamic control of induction motor. Field oriented control improves the dynamic performance of an induction motor and is commonly used method for speed and torque control applications.</p><p> In this thesis, the basic concepts and equivalent circuit model of squirrel cage induction motor are explained. A mathematical model is developed for squirrel cage induction motor. The Clarke's and Park's transformations are used to convert <i>abc</i> reference frame into <i> dq</i> rotating coordinate frame. The three-phase inverter, which supplies desired voltage/current to the stator winding is designed based on Pulse Width Modulation (PWM). The space vector PWM technique is implemented for controlling the three-phase inverter switches, which is simulated using Matlab/Simulink. </p><p> Field oriented control method is developed to get the decoupled control of flux and torque, which is comparable to the DC motor. The direct and indirect field oriented control methods are presented to obtain rotor flux angle. In this thesis, a novel field oriented control scheme for induction motor is developed. PID based controllers are designed for speed and current control loop based on symmetrical optimum method, which guarantee the maximum phase margin. The control approach can be applied to both direct and indirect field oriented control of induction machines. The computer simulations are used to show the efficacy of the proposed algorithm.</p><p> The developed field oriented control method is implemented using Texas Instrument AC motor development kit and software. A short review is presented on high voltage motor control board and DSP controllers. The field oriented control of induction motor shows satisfactory performance based on computer simulation and hardware implementation results.</p>
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Mehrotra, Prashant. "Artificial neural networks in induction motor speed estimation and control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/NQ42482.pdf.
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Bharadwaj, Aravind S. "Vector controlled induction motor drive systems." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-172143/.
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Belaroussi, Mohamed. "Intelligent real-time microcontroller of pulsewidth modulation controlled three-phase induction motors." Thesis, Robert Gordon University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303619.
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Karugaba, Sosthenes Francis. "Dynamics and control of a five phase induction machine a thesis presented to the faculty of the Graduate School, Tennessee Technological University /." Click to access online, 2008. http://proquest.umi.com/pqdweb?index=0&did=1619620261&SrchMode=1&sid=2&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268924899&clientId=28564.
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Ai, Yong-le. "Novel direct field and torque control of six-phase induction machine with special phase current waveform." Thesis, Link to the online version, 2006. http://hdl.handle.net/10019/489.
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Akin, Bilal. "State Estimation Techniques For Speed Sensorless Field Oriented Control Of Induction Motors." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1055953/index.pdf.
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This thesis presents different state estimation techniques for speed sensorlees
field oriented control of induction motors. The theoretical basis of each algorithm is
explained in detail and its performance is tested with simulations and experiments
individually.
First, a stochastical nonlinear state estimator, Extended Kalman Filter (EKF)
is presented. The motor model designed for EKF application involves rotor speed,
dq-axis rotor fluxes and dq-axis stator currents. Thus, using this observer the rotor
speed and rotor fluxes are estimated simultaneously. Different from the widely
accepted use of EKF, in which it is optimized for either steady-state or transient
operations, here using adjustable noise level process algorithm the optimization of
EKF has been done for both states<br>the steady-state and the transient-state of
operations. Additionally, the measurement noise immunity of EKF is also
investigated.
Second, Unscented Kalman Filter (UKF), which is an updated version of
EKF, is proposed as a state estimator for speed sensorless field oriented control of
induction motors. UKF state update computations, different from EKF, are derivative
free and they do not involve costly calculation of Jacobian matrices. Moreover,
variance of each state is not assumed Gaussian, therefore a more realistic approach is
provided by UKF. In this work, the superiority of UKF is shown in the state
estimation of induction motor.
Third, Model Reference Adaptive System is studied as a state estimator. Two
different methods, back emf scheme and reactive power scheme, are applied to
MRAS algorithm to estimate rotor speed.
Finally, a flux estimator and an open-loop speed estimator combination is
employed to observe stator-rotor fluxes, rotor-flux angle and rotor speed. In flux
estimator, voltage model is assisted by current model via a closed-loop to
compensate voltage model&rsquo<br>s disadvantages.
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Purcell, Anthony. "New switching techniques for direct torque controlled induction motor drives." Thesis, University of Newcastle Upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285275.
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Ye, Binying. "Harmonics Retrieval for Sensorless Control of Induction Machines." Thesis, Belfort-Montbéliard, 2015. http://www.theses.fr/2015BELF0255/document.
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La thèse étudie tout d’abord la relation entre les harmoniques à fentes du rotor (RSHs) et la vitesse du rotor instantanée. Pour suivre directement l'RSH, les exigences du système sont pleinement prises en compte.Dans un deuxième temps, les travaux de thèse ont permis de développer un système sans capteur en fonction de boucle à verrouillage de phase (PLL): La largeur de bande centrale est réglée en ligne sur la base des valeurs de référence, des fréquences d'alimentation et de glissement prévues au convertisseur PWM, la PLL est réglée pour suivre le rotor de la machine à RSH sans la nécessité de toute injection de signal à haute fréquence, ni en rotation, ni de pulsation. Ce système d'estimation de vitesse, qui est approprié pour le contrôleur scalaire, avait été intégré avec le lecteur scalaire, conduisant à un simple calcul peu exigeant, à faible coût de l’entraînement de la machine à induction sans capteur à faible coût. Les résultats expérimentaux montrent que le système est en mesure de suivre la vitesse de la machine dans une plage de vitesse très étendue.Enfin, un système sans capteur amélioré basé sur l'analyse de composant mineur (MCA) neurones est décrit. Selon la théorie de Pisarenko, il a été vérifié que le MC qui se trouve dans le sous-espace de bruit est orthogonale au sous-espace de signal, par conséquent, les fré-quences de signal contenues dans l'entrée peuvent être calculées à partir d'un polynôme formé par la MC. Classiquement, ce qui nécessitera la décomposition propre encombrants, néan-moins, la méthode de neurones proposée dans cette thèse peut récupérer le MC de façon ré-cursive avec moins de calculs et des performances améliorées d'erreur (la solution est sur un total de moins sens carré). En outre, l'estimateur de vitesse est appliquée à l'entraînement scalaire avec vérification expérimentale, l'ensemble du système se comporte bien, et la méthode MCA renforcée par réseaux neuronaux a fourni un bon potentiel dans l'application des harmoniques récupérer<br>The thesis first studies the relation between the rotor slot harmonics (RSHs) and the instan-taneous rotor speed. To directly track the RSH, the requirements of the system are fully ad-dressed.Second, the thesis presents a sensorless scheme based on phase-locked loop (PLL): The centre bandwidth is tuned on-line on the basis of the reference values of the supply and slip frequencies provided to the PWM converter, the PLL is tuned to track the machine rotor slot-ting harmonic without the need of any high frequency signal injection, neither rotating nor pulsating. This speed estimation scheme, which is suitable for the scalar controller, had been integrated with the scalar drive, leading to a simple, computationally not demanding, low cost sensorless IM drives. The experiment results show that the system is able to track the machine speed in a very wide speed range.Finally, an improved sensorless scheme based on minor component analysis (MCA) neu-rons is described. According to the Pisarenko’s theory, it has been verified that the MC which lies in the noise subspace is orthogonal to the signal subspace, thus, the signal frequencies contained in the input can be computed from a polynomial formed by the MC. Conventional-ly, this will require the bulky eigen-decomposition, nevertheless, the neural method proposed in this thesis can retrieve the MC recursively with less computation and improved error per-formance (the solution is of total least square meaning). Moreover, the speed estimator is ap-plied to the scalar drive with experimental verification, the overall system is well behaved, and the MCA method enhanced by neural networks has provided a good potential in the ap-plication of harmonics retrieve
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Hurst, Kevin D. "Transducerless control and monitoring of induction machines by detection of magnetic saliency harmonics." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/15713.
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Tait, Brian S. "Analysis of hardware implementation and speed control of a slip energy recovery system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA306002.
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Ozcelik, Eray. "Speed Sensorless Vector Control Of Induction Machine." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606063/index.pdf.
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Focus of this work is closed-loop speed control of an induction machine based on direct field-oriented control (DFOC) algorithm, using estimates of speed and flux observers which utilize only stator current and voltage. Theoretical bases of the algorithms are explained in detail and their performances are investigated with simulations and experiments.
Field Orientated Control is based on projections which transform a threephase time and speed dependent system into a two co-ordinate time invariant system. These projections lead to a structure similar to that of a DC machine control. Transformations are done in synchronous frame alligned to d-axis of rotor flux. So rotor flux position must be known accurately to make these transformations. Degined flux observer, in which voltage model is assisted by current model via a closed-loop to compensate voltage model&rsquo<br>s disadvantages, estimates the position of the rotor flux.
Obtaining adequate torque control via FOC, speed loop is closed using conventional PI regulators. Speed feedback is necessary to complete control loop. Model Reference Adaptive System is studied as a speed estimator. Reactive power scheme is applied to MRAS algorithm to estimate rotor speed.
In this study, the direct (rotor) flux oriented control system with flux and speed estimators is described and tested in real-time with the starter kit named TMS320F2812 eZdsp DSK and the Embedded Target for the TI C2000 DSP tool of Matlab
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Shai, Huazhen. "A parameter estimation algorithm using spectral analysis for field oriented control of induction motors." Thesis, University of Newcastle Upon Tyne, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292605.
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Savage, P. "The application of microprocessors to the position control of two-phase A.C. induction motors." Thesis, University of Reading, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371455.
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Memon, Niaz A. "Four quadrant induction motor controller." Thesis, University of Sussex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260798.
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Billis, Gerald. "The design and evaluation of a microprocessor-controlled triac cycloconverter two-phase induction motor drive." Thesis, Hong Kong : University of Hong Kong, 1989. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1285072X.
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Gao, Yuan, and 高源. "Control of chaos in advanced motor drives." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45014784.
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Zhu, Chaoying. "Induction motor speed sensing and control." Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358985.
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Wu, Shuang. "A generalized inverter control method for a variable speed wind power system under unbalanced operating conditions." Cleveland, Ohio : Cleveland State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1274902463.
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Thesis (M.S.)--Cleveland State University, 2010.<br>Abstract. Title from PDF t.p. (viewed on June 3, 2010). Includes bibliographical references (p. 118-120). Available online via the OhioLINK ETD Center and also available in print.
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Ozyurt, Caglar Hakki. "Parameter And Speed Estimation Of Induction Motors From Manufacturers Data And Measurements." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605774/index.pdf.
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In industrial drives market, requirements related to control quality and price of drives are important. In low cost drives, one of the aims is achieving speed estimation accuracy.
Since motor parameters are required to estimate speed and sometimes it is impractical to do no-load and locked rotor tests, it is necessary to estimate motor parameters from motor label or by simple measurements.
Throughout this study, some of parameter estimation and speed estimation methods found in literature are investigated and some new methods are proposed. These methods are applied to three induction motors and estimation results are compared with test results. Advantages and disadvantages of these methods are investigated.
As a result of this study, the most suitable parameter and speed estimation methods amongst these methods are obtained for low cost motor drives.
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Mosskull, Henrik. "Robust Control of an Induction Motor Drive." Doctoral thesis, Stockholm : Automatic Control, School of Electrical Engineering, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3889.
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Levett, D. B. "Analysis and control of an induction motor." Thesis, University of Southampton, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370346.
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ZAMPERLINI, LEIDA. "INDUCTION MOTOR VELOCITY CONTROL BY SUBSYNCHRONOUS CASCADE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1987. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9839@1.
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Discute-se a modelagem de segunda ordem do acionamento
por
motor de indução de rotor bobinado usando cascata
subsíncrona e o controle de velocidade do mesmo. As
estratégias de controle habituais são criticadas e
propõe-se um controlador PI com realimentação
proporcional de
corrente. Propõe-se também um algoritmo de projeto
considerando as possibilidades de ajustes finais.<br>The second order modeling and speed control of the Wound
Rotor Induction Motor Drive using Subsynchronous Converter
Cascade are discussed. The usual control projects is
criticized, and a PI controller with current proportional
feedback, and also a algorthm for the design with
possibilities of final adjustments are presented.
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Hung, Cheng-Yao, and 洪振堯. "Adaptive Control for Rotary Induction Motors and Linear Induction Motors." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/95392765711618526893.
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碩士<br>中原大學<br>電機工程研究所<br>90<br>This thesis presents a systematic and high performance semi-current
fed model-based control for both rotary induction motors and linear
induction motors. The new concept, semi current fed model, relaxes
the original assumption that an ideal current loop is achieved which
is quite strict in practical implementations. When controlling rotary
induction motors, a LuGre dynamic friction model is considered along
with the semi-current-fed model. The objective of adaptive speed
control, achieved by an indirect estimation on the rotor flux, is
carried out by using Virtual Desired Variable design methodology.
This approach simplifies the controller synthesis. For the friction
part, assumed to be immeasurable, a double observer is used to
estimate the parameters and states of the nonlinear friction model.
In addition, the rotor resistance, load torque are assumed to be
unknown. Since the structure of the linear induction motor is
quite similar to a rotary one, which we need to consider that the
method of motion and end-effect is the only differences, the second
part of this thesis deals with the control in an analogous method.
Therefore, once deriving the mathematical model considering
end-effects, control is achieved while torque load and mechanical
parameters are considered to be unknown.
Finally, numerical simulations and practical experiment on
both rotary induction motors and linear induction motors are
found to be consistent with theoretical derivations.
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MO, GING-XIAN, and 莫清賢. "STARTING CONTROL OF INDUCTION MOTORS." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/79349880575113760426.
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博士<br>國立成功大學<br>電機工程研究所<br>79<br>In this dissertation, the author proposed two control methods for starting
induction motors with better transient performance. For the
squirrel-cage-rotor type induction motors, solid-state soft-starter is
usedand a new control strategy (called consine-control) is introduced to
regulate the output voltage of the ac voltage controller. For the
woundrotor induction motors, an external chopper-controlled resistor is
added onto the rotor circuit to adjust the rotor resistance during
starting periods.
In order to simulate the transient characteristics of induction machines,
a hybrid model has been proposed to retain the advantages of both
direct-phase model and d-q axis model when power converter is introduced
in either stator or rotor circuit. The proposed starting methods are
simulated by using this hybrid model. The satisfactory resule are obtained
from both computer simulations and experimental tests, and the hybrid
model is proven to be the most convenient dynamic model for such
applications.
感應電動機為目前工業應用最廣泛的電動機械，然而，其啟動斬態一直是令人困擾的
問題。本文旨在探討感應電動機之啟動暫態特性，提出控制方法。
對於鼠籠式轉子感應機，本文提出一種新的餘弦控制方式，以調變交流相位控制器之
輸出電壓。較之現今所使用之方法，此控制方式可以較小之有效電流產生較大之平均
轉矩，在較短時間內將電動機啟動完成。對於繞線式轉子感應機，本文提出二種啟動
方式：〈一〉限電流啟動，〈二〉最大轉矩啟動，以外加截波器電路控制轉子之等效
電阻，將電動機快速平滑地啟動。
為了探討感應機之動態特性，作者結合直接相模型和交直軸模型，兼採兩者之優點，
提出一種混合式之動態模型。當定子或轉子介入電力電子電路時，此一混合模型可以
避免費時繁複之運算，並可獲得所欲得知之實際電壓和電流，用以偵測電子開關元件
之換向動作。
本文利用此混合動態模型模擬前述控制方式之暫態，探討其在各種負載狀態下之啟動
特性，並以實驗證實之。
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Lai, Chao-Liang, and 賴兆良. "Motion Control Using Induction Motors." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/32259298982408453537.
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碩士<br>中原大學<br>電機工程研究所<br>95<br>Abstract
The large growth of production automation leads to continuous high performance server application. To meet increasingly higher demand on quality and productivity, demand of robots and other customized automation application is also increasing. Motion control is the basic requirement of almost all automation. With advantages of simple structure, easy maintenance, high dependability and long-time operation, induction motors have been widely used in industries as the source of power for general machines.
The purpose of this report is to give profound discussion in simple language on motion control of induction motors. The article includes: step method of using module components to design control system, exploration on induction motors’ con version of three-phase coordinates and two-axis vertical coordinates system to generalize the mathematic model, introduction of vector control theories of induction motors and principles of inverters and introduction of basic motion control system. The researcher hopes to, with the foundation of basic mathematic model of induction motors and control principles with actual application of these technologies, establish self-design of manufacture of induction motors’ vector control capability and help studies on future researches on motion control system of induction motors.
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Chen, HuiLiang, and 陳輝良. "Control of Three Phase AC Induction Motors." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/61361859156480295489.
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Lee, Wen-Lung, and 李文龍. "Adaptive Control for Induction Motors Using Principles of Vector Control." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/40166435970034126953.
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碩士<br>中原大學<br>電機工程學系<br>87<br>On the basis of measurable rotor speed, stator current and stator voltage, the control design methodology for speed tracking and torque tracking problems of induction motors with unknown rotor resistance and loading torque is proposed in this paper. The proposed nonlinear adaptive controller is developed by integrating the design methods of a two-stage design approach and virtual desired variables. Based on the two-stage approach, the speed tracking problem is transformed to an equivalent control problem for torque tracking. The virtual desired variables include desired stator currents and desired rotor fluxes, which are naturally determined under the conditions induced from the principles for vector control.
In Chapter 3, we first consider the model of a current-fed induction motor. In the case, a measurable auxiliary signal will be introduced to relate the rotor flux error, whereby the direct feedback of the rotor flux can be avoided. Then the control inputs are chosen for the purpose of steering the state variables toward the desired ones. Under the condition of persistent excitation, this controller structure will provide the properties of asymptotic speed tracking and exponential torque tracking in physical operating conditions, whereas all of the internal signals are bounded. It is worth remarking that no explicit observer for the rotor flux will be constructed in the controller. In Chapter 4, the sliding mode controller is used to substitute the PI-controller. This will maintain good tracking performance when system uncertainty and external disturbance exists. Also, an Extended Kalman Filter is used to estimate the states that are not measurable in the practical system. The results of simulation are shown to demonstrate good transient and steady state responses of the proposed control algorithm.
Finally, we make a complete statement and theory proof. The whole induction motor speed and position control system is implemented by using a high-speed digital signal processor TMS320C31 in the dSPACE environment. An induction motor of driver module is used to achieve the control task. We can see from experiments, that these adaptive nonlinear controllers have good performances.
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Yu, Yuan-Yi, and 余遠義. "Adaptive Control and Passivity Based Control for Linear Induction Motors." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/01795977112041860932.
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碩士<br>中原大學<br>電機工程研究所<br>89<br>A linear induction motor (LIM) is a kind of special electrical machines that convert electrical energy directly into mechanical energy of linear motion. Owing to the nonlinear, time-varying, coupled model of LIM, the speed control becomes a complex problem. A challenge arises on the modeling and controller design of LIM due to the existence of the end effect. The aim of this thesis is to derive the mathematical model of an LIM where the end effect is considered, and then two schemes,namely adaptive control and passivity based control (PBC), are proposed to design the LIM speed controller.
Form the circuit and energy point of view, the mathematical model of an LIM can be derived based on Kirchhoff’s voltage law and Euler-Lagrange equations, respectively. An LIM can be regarded as an unrolled rotary motor by cutting the rotary motor along a radial plane. Hence, the structure is similar to the induction motor. However, when we model the LIM, the end effect should be emphasized. When the primary of an LIM moves, the secondary under the edge of primary will create the eddy current to resist a sudden increasing or disappearing fluxes. After modelling the end effect due to eddy current, we obtain the complete mathematical model of an LIM.
Based on the two forms of the derived models, adaptive control and passivity based control(PBC) are, respectively, proposed to design the LIM speed controller. LIM is an electromechanical system and can be decomposed into a mechanical subsystem and an electrical subsystem. Therefore, a two-stage control design, namely torque controller and speed controller are developed. An adaptive controller with a nonexplicit flux observer is applied to handle the speed tracking problem when the mechanical parameters and the flux of secondary are unknown. The PBC design includes two main parts, namely damping injection and energy shapping to form the controller. Lyapunov direct method is used to analyize the stability of the closed-loop systems. Finally, numerical simulation and hardware experiments are carried out to verify the performance of the proposed controller.
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"Improvements in direct torque control of induction motors." Universitat Politècnica de Catalunya, 2001. http://www.tesisenxarxa.net/TDX-0724101-144636/.
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YOU, WEN-HAI, and 游文海. "Nonlinear observer-based tracking control for induction motors." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/91814931428893575484.
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