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Advanced motion control and sensing for intelligent vehicles /Li, Li, Wang, Fei-Yue. January 2007 (has links)
Mainly based on Li Li's Ph. D. dissertation: University of Arizona, Tucson, 2005. / Includes bibliographical references and index.
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Dynamic control of the permanent magnet assisted reluctance synchronous machine with constant current angleDe Kock, Hugo Werner 03 1900 (has links)
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006. / This thesis is about the dynamic control of a permanent magnet assisted reluctance synchronous
machine (PMA RSM). The PMA RSM in this thesis is a 110 kW traction machine and is ideal for the
use in electrical rail vehicles. An application of the dynamic control of the PMA RSM in electrical rail
vehicles is to reduce wheel slip.
The mathematical model of the PMA RSM is derived and explained in physical terms. Two methods
of current control for the PMA RSM are investigated, namely constant field current control (CFCC)
and constant current angle control (CCAC). It is shown that CCAC is more appropriate for the PMA
RSM.
A current controller for the PMA RSM that guarantees stability is derived and given as an analytic
formula. This current controller can be used for any method of current control, i.e. CFCC or CCAC.
An accurate simulation model for the PMA RSM is obtained using results from finite element analysis
(FEA). The accurate model is used in a simulation to verify CCAC. A normal proportional integral
speed controller for the PMA RSM is designed and the design is also verified by simulation.
Practical implementation of the current and speed controllers is considered along with a general
description of the entire drive system. The operation of the resolver (for position measurement) is
given in detail. Important safety measures and the design of the electronic circuitry to give protection
are shown. Practical results concerning current and speed control are then shown.
To improve the dynamic performance of the PMA RSM, a load torque observer with compensation
current feedback is investigated. Two observer structures are considered, namely the reduced state
observer and the full state observer. The derivation of the full state observer and the detail designs of
the observer elements are given. The accurate simulation model of the PMA RSM is used to verify the
operation of the observer structures and to evaluate the dynamic performance. Both observer
structures are implemented practically and practical results are shown.
One method of position sensorless control, namely the high frequency voltage injection method, is
discussed in terms of the PMA RSM. This work is additional to the thesis but it is shown, because it
raises some interesting questions regarding the dynamic control of the PMA RSM.
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Controlling a Passive Haptic Master During Bilateral TeleoperationBlack, Benjamin Andrew 27 August 2007 (has links)
Haptic devices allow a human to interact physically with a remote or virtual environment by providing tactile feedback to the user. In general haptic devices can be classified in two groups according to the energetic nature of their actuators. Devices using electric motors, pneumatic or hydraulic cylinders or other similar actuators that can add energy to the system are considered "active." Devices using brakes, clutches or other passive actuators are considered "passive" haptic devices. The research presented here focuses on the use of passive haptic devices used during teleoperation, the remote control of a "slave" device by the haptic "master" device. An actuation scheme as well as three different control methods is developed for providing the user with haptic feedback. As a final step, the effectiveness of the controllers is compared to that of a commercially available active haptic device. Twenty subjects provide data that shows the usefulness of the passive device in three typical teleoperation tasks.
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Modelling and control of an electric wheelchair virtual reality platform.Motaung, Mokete Isaac. January 2014 (has links)
M. Tech. Electrical Engineering. / Discusses how to develop the kinematic and dynamic model and the controller for the 2-DOf motion platform used in an augmented reality environment for wheelchair driving. This comes as a motivation to help to train disabled and elderly people to drive wheelchairs.. With accurate inverse dynamic model, it is possible to achieve high performance control algorithms of robots and direct dynamic model is required for their simulation. The other part of this research was to model and control the roller for the feedback of the wheelchair wheels.
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Real-time Software Hand Pose Recognition using Single View Depth ImagesAlberts, Stefan Francois 04 1900 (has links)
Thesis (MEng)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The fairly recent introduction of low-cost depth sensors such as Microsoft’s Xbox Kinect
has encouraged a large amount of research on the use of depth sensors for many
common Computer Vision problems. Depth images are advantageous over normal
colour images because of how easily objects in a scene can be segregated in real-time.
Microsoft used the depth images from the Kinect to successfully separate multiple
users and track various larger body joints, but has difficulty tracking smaller joints
such as those of the fingers. This is a result of the low resolution and noisy nature of
the depth images produced by the Kinect.
The objective of this project is to use the depth images produced by the Kinect to
remotely track the user’s hands and to recognise the static hand poses in real-time.
Such a system would make it possible to control an electronic device from a distance
without the use of a remote control. It can be used to control computer systems during
computer aided presentations, translate sign language and to provide more hygienic
control devices in clean rooms such as operating theatres and electronic laboratories.
The proposed system uses the open-source OpenNI framework to retrieve the depth
images from the Kinect and to track the user’s hands. Random Decision Forests are
trained using computer generated depth images of various hand poses and used to
classify the hand regions from a depth image. The region images are processed using
a Mean-Shift based joint estimator to find the 3D joint coordinates. These coordinates
are finally used to classify the static hand pose using a Support Vector Machine trained
using the libSVM library. The system achieves a final accuracy of 95.61% when tested
against synthetic data and 81.35% when tested against real world data. / AFRIKAANSE OPSOMMING: Die onlangse bekendstelling van lae-koste diepte sensors soos Microsoft se Xbox Kinect
het groot belangstelling opgewek in navorsing oor die gebruik van die diepte sensors
vir algemene Rekenaarvisie probleme. Diepte beelde maak dit baie eenvoudig om
intyds verskillende voorwerpe in ’n toneel van mekaar te skei. Microsoft het diepte
beelde van die Kinect gebruik om verskeie persone en hul ledemate suksesvol te volg.
Dit kan egter nie kleiner ledemate soos die vingers volg nie as gevolg van die lae resolusie
en voorkoms van geraas in die beelde.
Die doel van hierdie projek is om die diepte beelde (verkry vanaf die Kinect) te gebruik
om intyds ’n gebruiker se hande te volg oor ’n afstand en die statiese handgebare
te herken. So ’n stelsel sal dit moontlik maak om elektroniese toestelle oor ’n afstand
te kan beheer sonder die gebruik van ’n afstandsbeheerder. Dit kan gebruik word om
rekenaarstelsels te beheer gedurende rekenaargesteunde aanbiedings, vir die vertaling
van vingertaal en kan ook gebruik word as higiëniese, tasvrye beheer toestelle in
skoonkamers soos operasieteaters en elektroniese laboratoriums. Die voorgestelde stelsel maak gebruik van die oopbron OpenNI raamwerk om die
diepte beelde vanaf die Kinect te lees en die gebruiker se hande te volg. Lukrake
Besluitnemingswoude ("Random Decision Forests") is opgelei met behulp van rekenaar
gegenereerde diepte beelde van verskeie handgebare en word gebruik om die
verskeie handdele vanaf ’n diepte beeld te klassifiseer. Die 3D koördinate van die hand
ledemate word dan verkry deur gebruik te maak van ’n Gemiddelde-Afset gebaseerde
ledemaat herkenner. Hierdie koördinate word dan gebruik om die statiese handgebaar
te klassifiseer met behulp van ’n Steun-Vektor Masjien ("Support Vector Machine"),
opgelei met behulp van die libSVM biblioteek. Die stelsel behaal ’n finale akkuraatheid
van 95.61% wanneer dit getoets word teen sintetiese data en 81.35% wanneer getoets
word teen werklike data.
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Critical evaluation and application of position sensorless control techniques for reluctance synchronous machinesVillet, Wikus Theo 04 1900 (has links)
Thesis (PhD)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The position sensorless controllability of the reluctance synchronous machine (RSM) is investigated in
this thesis with the focus on industry applications where variable and dynamic torque is required from
startup up to rated speed. Two low speed as well as one medium to high speed position sensorless control
(PSC) method for RSMs are investigated. These methods are extended to operate in the entire rated
speed region with a hybrid PSC structure that makes use of phase locked-loop synchronisation and a
hysteresis changeover method.
It is shown in this thesis that PSC of the lateral rib rotor RSM is not possible from zero up to ± 0.2 p.u
current. It is shown through finite element (FE) simulations that PSC of the ideal rotor RSM however,
is possible at zero reference current. A novel construction method is used to build two ideal rotor RSMs.
Measured flux linkage curve results of the ideal rotor RSMs correlate well with simulation results and it
is shown that the electrical angle of the machine can be tracked successfully at zero reference current.
The FE simulation package is used to compare the saliency of the RSM on a per-unit scale to three
types of field intensified permanent magnet (FI-PM) synchronous machines and a field weakening interior
permanent magnet synchronous machine. It is shown that the saliency of the RSM is larger than that of
the investigated PM machines from zero up to rated load. It is thus concluded that the RSM is well suited
to saliency-based PSC (SB-PSC) methods, which are used to control synchronous machines at startup
and low speeds.
The hybrid PSC methods developed in this thesis, are tested and evaluated on three proposed industry
applications. The first is a reluctance synchronous wind generator with an inverter output LC filter. The
LC filter allows long cables to be used and reduces the voltage stress on the stator windings of the machine.
The combination of the LC filter and hybrid PSC method allows the power electronics and controller to
be stationed in the base of the turbine tower. A new stator quantity estimation method is derived to omit
the need of current and voltage sensors on the machine side of the LC filter. Good maximum power point
tracking laboratory results are shown with the high frequency injection-assisted hybrid PSC method.
The second application investigated is a position sensorless controlled variable gear electric vehicle
(EV) RSM drive. Simulation and measured results show good torque capabilities of the position sensorless
controlled EV RSM. It is shown through simulation results that the fundamental current harmonic is
dominant in the demodulation scheme of the high frequency injection position sensorless control (HFIPSC)
method due to the high current rating of the proposed RSM. The HFI-PSC method is extended to
reduce the effect of the fundamental current harmonic in the demodulation scheme without adding any
additional filters.
The final investigated application is a novel mine scraper winch, which uses two position sensorless
controlled RSMs to retrieve ore from the blast site underground. The new design improves on the safety,
efficiency and durability of the current scraper winch design. Measured results show that the position
sensorless controlled winch RSM is able to deliver rated startup torque with both investigated SB-PSC
methods. Finally an automation method is implemented and tested to limited the applied force on the
scraper and automatically free itself when stuck. / AFRIKAANSE OPSOMMING: Die posisie sensorlose beheer eienskappe van die reluktansie sinchroonmasjien (RSM) word in hierdie tesis
ondersoek met die fokus op industriële toepassings waar varierende dinamiese draaimoment vereis word
vanaf stilstand tot by ken spoed. Twee lae spoed- en een ho¨e spoed posisie sensorlose beheer (PSB)
metodes vir RSMe is ondersoek. Hierdie metodes is uitgebrei om twee hibriede PSB metodes to skep wat
die RSM van stilstand tot by kenspoed posisie sensorloos kan beheer. Die ontwikkelde hibriede metodes
maak gebruik van ’n histerese oorskakelings skema en fase geslote lus sinchronisasie
Daar word in hierdie tesis bevestig dat die laterale rib RSM nie beheer kan word met die geondersoekte
PSB metodes by nul stroom nie. Eindige element simulasie resultate wys egter daarop dat die ideale rotor
RSM wel beheer kan word met die geondersoekte metodes by nul stroom. ’n Nuwe konstruksie metode is
voorgestel om twee ideale rotor RSMe to bou. Gemete vloed omsluiting kurwes resultate korreleer baie
goed met dié van die eindige element simulasies. Gemete resultate wys ook daarop dat PSB van die nuwe
masjiene moontlik is by nul stroom.
’n Eindige element pakket is gebruik om die speek-koëffissiënt van die RSM te vergelyk met drie tipes
veld-versterkte permanent magneet masjiene, asook een veld verswakte permanent magneet versinkte
masjien. Die simulasie resultate wys dat die RSM se speek-koëffissiënt hoër is as die van die geondersoekte
permanent magneet masjiene. Die RSM is dus geskik vir speek-koëffissiënt georienteerde PSB metodes,
wat hoofsaaklik by stilstand en lae spoed gebruik word.
Die ontwikkelde hibried PSB metodes is getoets en geëvalueer met drie voorgestelde industriële toepassings.
Die eerste is ’n reluktansie sinchroon wind generator met ’n omsetter uittree laagdeurlaat filter. Die
laagdeurlaat filter laat toe dat langer kabels vanaf die omsetter na die generator gebruik kan word. Die
kombinasie van die laagdeurlaat filter en die PSB metodes laat toe dat die drywingselektronika en die
beheerders in die toring basis geplaas kan word. Dit kan die gewig van die nasel verminder. Goeie maksimum
drywingspunt volging laboratorium resultate word getoon met die hoë frekwensie ondersteunde
hibried PSB metode.
Die tweede geondersoekte toepassing is ’n posisie sensorlose beheerde, varierende ratkas elektriese
voertuig RSM. Goeie simulasie en gemete draaimoment resultate van die RSM word getoon. Simulasie
resultate toon dat die fundamentele q-as stroom harmoniek dominant is in die demodulasie skema van
die hoë frekwensie PSB metode, as gevolg van die hoë ken stroom van die motor. Die hoë frekwensie
PSB metode is uitgebrei om die fundamentele stroom harmoniek te onderdruk in die demodulasie skema
sonder om enige filters by te voeg.
Die finale toepassing is ’n nuwe myn windas wat van twee posisie sensorlose beheerde RSMe gebruik
maak om klippe ondergronds te verplaas vanaf die ontploffings area. Die voorgestelde ontwerp verbeter die
huidige ontwerp ten opsigte van die veiligheid, energie effektiwiteit en robuustheid. Gemete resultate wys
dat ken draaimoment moontlik is met altwee speek-koëffissiënt metodes. ’n Automasie metode, wat die
maksimum draaimoment op die windas beperk en automaties homself bevry indien hy vasval, is voorgestel
en geëvalueer.
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