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In this thesis, advanced control methods are presented for torque ripple reduction and performance improvement in switched reluctance motor (SRM) drives. Firstly, a comparative evaluation of power electronic converters including asymmetric, N+1, C dump, split AC, and split DC converters is presented for three-phase SRMs in terms of cost, efficiency and control performance. Secondly, two methods are proposed using torque sharing function (TSF) concepts for torque ripple reduction of SRM over a wide speed range. An offline TSF is proposed to minimize the copper loss and the absolute rate of change of flux linkage (ARCFL) with a Tikhonov factor. Then an online TSF is proposed by adding a proportional and integral compensator with torque error to torque reference of the phase with lower ARCFL. Therefore, the total torque of online TSF is determined by the phase with lower ARCFL rather than the phase with higher ARCFL as in conventional TSFs. The maximum torque-ripple-free speed (TRFS) of the offline TSF and online TSF is validated to be 7 times and 10 times as high as the best case in these conventional TSFs, respectively. Thirdly, two methods are proposed to eliminate mutual flux effect on rotor position estimation of SRM drives without a prior knowledge of mutual flux, one is the variable-hysteresis-band current control for the incoming-phase self-inductance estimation and the other is variable-sampling outgoing-phase self-inductance estimation. Compared with the conventional method which neglects the mutual flux effect, the proposed position estimation method demonstrates an improvement in position estimation accuracy by 2º. Fourthly, a fixed-switching-frequency integral sliding mode current controller for SRM drives is presented, which demonstrates high dynamics, strong robustness and none steady-state error. All the proposed control methods are verified by both simulations and experiments with a 2.3 kW, 6000 rpm, three-phase 12/8 SRM operating in both linear magnetic and saturated magnetic regions. / Thesis / Doctor of Philosophy (PhD)

Optimization has enabled automated applications in chemical manufacturing such as advanced control and scheduling. These applications have demonstrated enormous benefit over the last few decades and continue to be researched and refined. However, these applications have been developed separately with uncoordinated objectives. This dissertation investigates the unification of scheduling and control optimization schemes. The current practice is compared to early-concept, light integrations, and deeper integrations. This quantitative comparison of economic impacts encourages further investigation and tighter integration. A novel approach combines scheduling and control into a single application that can be used online. This approach implements the discrete-time paradigm from the scheduling community, which matches the approach of the control community. The application is restricted to quadratic form, and is intended as a replacement for systems with linear control. A novel approach to linear time-scaling is introduced to demonstrate the value of including scaled production rates, even with simplified equation forms. The approach successfully demonstrates significant benefit. Finally, the modeling constraints are lifted from the discrete-time approach. Time dependent constraints and parameters (like time-of-day energy pricing) are introduced, enabled by the discrete-time approach, and demonstrate even greater economic value. The more difficult problem calls for further exploration into the relaxation of integer variables and initialization techniques for faster, more reliable solutions. These applications are also capable of replacing both scheduling and control simultaneously. A generic CSTR application is used throughout as a case study on which the integrated optimization schemes are implemented. CSTRs are a common model for applications in most chemical engineering industries, from food and beverage, to petroleum and pharmaceuticals. In the included case study results, segregated control and scheduling schemes are shown to be 30+% less profitable than fully unified approaches during operational periods around severe disturbances. Further, inclusion of time-dependent parameters and constraints improved the open-loop profitability by an additional 13%.

The design of this thesis intends to present that 120¢X Communication and Flux-Weakening Control techniques can be successfully applied to a Digital Signal Processor (DSP) together with the hardware structure of an inverter. Experimental results are shown that utilizing IPM Motor as Drive Motor of Electric Vehicle, 120¢X Communication techniques can reduce ripple torque and maintain the stability of output torque. Furthermore, through Phase advanced control motor, it enables a higher output torque during the mid-lower speed. Using Flux-Weakening Control helps motor from higher output speed to the highest output speed. Moreover, the security of motor driver can be enhanced by designing circuit, which prevents over voltage. The function of motor driver will be better due to the decreased hardware size and increased accuracy that are the advantage of writing DSP scripts to analyze rotor speed.

Thesis (MSc)--Stellenbosch University, 2013. / ENGLISH ABSTRACT: This work focussed on a local multiple chamber falling film evaporator (FFE). The FFE is currently under operator control and experiencing large amounts of lost production time due to excessive fouling. Furthermore, the product milk dry mass fraction (WP) is constantly off specification, negatively influencing product quality, while the first effect temperature (TE1) runs higher than the recommended 70°C (this is a main cause of fouling). A two month period of historical data were received with the aim to develop a controller that could outperform the operators by keeping both control variables, WP and TE1, at desired set points while also increasing throughput and maintaining product quality. Access to the local plant was not possible and as such available process data were cleaned and used to identify two data based models, transfer function and autoregressive with exogenous inputs (ARX) models, as well as a semi-empirical-model. The ARX model proved inadequate to predict TE1 trends, with an average TE1 correlation to historical data of 0.36, compared to 0.59 and 0.74 for the transfer function and semi-empirical-models respectively. Product dry mass correlations were similar between the models with the average correlations of 0.47, 0.53 and 0.51 for the semi-empirical, transfer function and ARX models respectively. Although the semi-empirical showed the lowest WP correlation, it was offset by the TE1 prediction advantage. Therefore, the semi-empirical model was selected for controller development and comparisons. The success of the semi-empirical model was in accordance with previous research [1] [2] [3], yet other studies have concluded that ARX modelling was more suited to FFE modelling [4]. Three controllers were developed, namely: a proportional and integral (PI) controller as base case, a linear quadratic regulator (LQR) as an optimal state space alternative and finally, to make full use of process knowledge, a predictive fuzzy logic controller (PFC). The PI controller was able to offer zero offset set point tracking, but could not adequately reject a feed dry mass (WF) disturbance (as proposed and reported by Winchester [5]). The LQR was combined with a Kalman estimator and used pre-delay states. In order to offer increased disturbance rejection, the feedback gains of the disturbance states were tuned individually. The altered LQR and PFC solutions proved to adequately reject all modelled disturbances and outperform a cascade controller designed by Bakker [6]. The maximum deviation in WP was a fractional increase of 0.007 for LQR and 0.005 for FPC, compared to 0.012 for PI and 0.0075 for the cascade controller [6] (WF disturbance fractional increase of 0.01). All the designed controllers managed to reduce the standard deviation of operator controlled WP and TE1 by at least 700% and 450%, respectively. The same level of reduction was seen for maximum control variable deviations (370%), the integral of the absolute error (300%) and the mean squared error (900%). All these performance metrics point to the controllers performing better than the operator based control. In order to prevent manipulated variable saturation and optimise the feed flow rate (F1), a fuzzy feed optimiser (FFO) was developed. The FFO focussed on maximising the available evaporative capacity of the FFE by optimising the motive steam pressure (PS), which supplied heat to the effects. By using the FFO for each controller the average feed flow rate was increased by 4.8% (±500kg/h) compared to the operator control. In addition to flow rate gain, the controllers kept TE1 below 70°C and WP on specification. As such, the overall product quality also increased as well as decreasing the down time due to less fouling. / AFRIKAANSE OPSOMMING: Hierdie projek het op ‘n vallende film verdamper (VFV) gefokus. Die VFV word tans beheer deur operateurs en ondervind groot hoeveelhede verlore produksie tyd a.g.v oormatige aangroeisels. Die vorming van aangroeisels is grootliks te danke aan die eerste effek temperatuur (TE1) wat gereeld 70°C oorskrei. Die produk droë massa fraksie (WP) is ook telkens nie op die gewenste vlak nie, wat produk kwaliteit negatief beinvloed. Data, wat oor ‘n twee maand periode strek, was verkry met die doelstelling om ‘n beheerder te ontwerp wat beter sou vaar as die operateurs, deur beide WP en TE2 om ‘n nou stelpunt te beheer. Ter selfde tyd moet die ontwerpte beheerder die produksie tempo en produk kwaliteit verhoog. Geen toegang tot die plaaslikke VFV was moontlik nie, dus was die data skoongemaak en gebruik om twee data gebasseerde modelle te identifiseer, nl. oordragsfunksie en outoregressiwe met eksogene insette (ORX) modelle, asook ‘n semi-empiriese model. Die ORX model kon nie TE1 goed voorspel nie, met ‘n korrelasie faktor (tot die historiese data) van 0.36, vergeleke met die 0.59 en 0.74 van die oordragsfunksie en semi-empiriese modelle onderskeidelik. WP korrelasie faktore was meer konstant tussen die modelle, met waardes van 0.47, 0.53 en 0.51 vir die semi-empiriese, oordragsfunskie en ORX modelle onderskeidelik. Alhoewel die semi-empiriese model die laagste WP korrelasie vertoon het, was die tekortkoming vergoed deur die beter TE1 voorspelling. Gevolglik was die semi-empiriese model gebruik vir beheerder ontwerp en vergelyking. Die sukses van die semiempiriese model stem ooreen met vorige studies [1] [2] [3], tog het ander studies al bevind dat die ORX model beter gepas is vir die VFV proses [4]. Drie beheerders was ontwikkel, nl. ‘n proporsionele en integreerder (PI) beheerder as basis geval, ‘n liniêre kwadratiese reguleerder (LKR) as optimale toestands beheer alternatief en laastens ‘n voorspellende wasige logika beheerder (VWB) om volle gebruik van proseskennis te maak. Die PI beheerder kon foutlose volging van die stelpunte lewer, maar kon nie ‘n inset voer droë massa fraksie (WF) versteuring (soos voorgestel en weergegee deur Winchester [5]) na wense verwerp nie. Die LKR was saamgevoeg met ‘n Kalman afskatter en het gebruik gemaak van onvertraagde toestande. Die versteuringstoestande was individueel verstel om beter versteurings verweping te weeg te bring. Die aangepaste LKR en VWB kon beide die WF versteuring verwerp en het beter gevaar as ‘n kaskade beheer oplossing wat deur Bakker [6] ontwerp was. Die WP afwyking is beperk tot ‘n fraksie droë masse verandering van 0.007 vir LKR en 0.005 vir VWB, vergeleke met die afwykings van 0.012 vir die PI beheerder asook die 0.0075 van die kaskade beheerder [6]. Die ontwerpte beheerder kon ook die standaard afwyking van beide WP en TE1 met ten minste 700% en 450% onderskeidelik verminder. Soortgelyke verbeterings was gesien vir die maksimum beheer veranderlikke afwyking (370%), die integraal van die absolute fout (300%) en die gemiddelde fout (900%). Dus het die ontwerpte beheerders wesenlik verbeter op die operateur beheer. Ten einde om gemanipuleerde veranderlikke versadiging te voorkom, asook die voer vloei (V1) te optimiseer, was ‘n wasige logika optimiseerder (WVO) ontwerp. Die WVO het die beskikbare verdampingskapasiteit ten volle benut deur te sorg dat die stoom druk (PS), wat energie verskaf vir verdamping, ge-optimiseerd bly. ‘n Gemiddelde V1 stygging van 4.8% (±500kg/uur), vergeleke met operateur beheer, is waargeneem. Al die beheerders kon steeds die WP en TE1 stelpunte volg en dus TE1 onder 70°C hou (wat verminderde vormasie van aangroeisels tot gevolg gehad het). Daarom het die produk kwailiteit verhoog en die verlore produksie tyd verminder.

The concept of lights-out process control is explored in this work (specifically pertaining to the minerals processing industry). The term is derived from lights-out manufacturing, which is used in discrete component manufacturing to describe a fully automated production line, i.e. with no human intervention. Lights-out process control is therefore defined as the fully autonomous operation of a processing plant (as achieved through automatic process control), without operator interaction. / Thesis (PhD)--University of Pretoria, 2017. / National Research Foundation (NRF) / Electrical, Electronic and Computer Engineering / PhD / Unrestricted

Made available in DSpace on 2014-12-17T14:08:39Z (GMT). No. of bitstreams: 1 LuizHGP_DISSERT.pdf: 1454316 bytes, checksum: 0866b81b5bfb98284278c13af6a47bdc (MD5) Previous issue date: 2009-08-07 / A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH ? um processo de grande import?ncia na ind?stria petroqu?mica, onde se deseja manter constante o n?vel de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho est?tico e din?mica n?olineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um respons?vel pela identifica??o e outro pelo o c?lculo do sinal de controle. Para realizar a identifica??o neural ? utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propaga??o Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e sa?da da planta ? iniciado o treinamento offline da rede. Dessa forma, os pesos sin?pticos s?o ajustados e a rede est? apta para representar o sistema com a m?xima precis?o poss?vel. O modelo neural gerado ? usado para predizer as sa?das futuras do sistema, com isso o otimizador calcula uma s?rie de a??es de controle, atrav?s da minimiza??o de uma fun??o objetivo quadr?tica, fazendo com que a sa?da do processo siga um sinal de refer?ncia desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identifica??o, via redes neurais e o segundo ? respons?vel pelo controle do processo. As ferramentas aqui implementadas e aplicadas s?o gen?ricas, ambas permitem a aplica??o da estrutura de controle a qualquer novo processo

L'intégration des énergies renouvelable à l'échelle du réseau provoque de nouveaux paradigmes : la première et plus importante modification provient du fait que la puissance électrique produite n'est plus maîtrisée mais dépendante de l'incontinence des sources renouvelables. Cette irrégularité de la production par rapport à la consommation nécessite le stockage de l'énergie lorsqu'elle est produite afin de la mettre à disposition pour plus tard. Les sites de transfert d'énergie par pompage (STEP), ou centrales de turbinage-pompage, sont, par leur vitesse d'action, capacité de stockage et aspect respectueux de l'environnement, les principaux organes capable de satisfaire cette demande grandissante en stockage d'énergie à l'échelle du réseau.Durant cette thèse, le problème de modélisation et d'asservissement des régimes transitoires de ces sites est considéré du point de vue du groupe turbine : soit une turbine au sein d'un circuit hydraulique, quel est son comportement dynamique, et quelle méthode de contrôle permet d'assurer les meilleurs performances possibles du point de vue du temps de réponse et de la stabilité.Le manuscrit s'articule alors autour de quatre chapitres : le premier a pour but d'introduire plus finement les problématiques ainsi que la dynamique de ces sites. Le deuxième chapitre présente une méthode originale basée sur une étude graphique d'une modélisation simplifiée du système de turbinage au sein d'une conduite linéaire à section constante. Cette partie permet d'établir le temps minimum d'action de ces centrales de façon dépendante des performances de l'actionneur et de la topologie du site. Le troisième chapitre contient la principale contribution de ces travaux en terme de régulation d'un site de turbinage pompage : on y propose une régulation linéaire du circuit hydraulique dans lequel se fait l'écoulement de l'eau à travers l'utilisation d'un actionneur non-linéaire : la turbine. Enfin, afin de traiter des séquences particulière, le quatrième et dernier chapitre propose d'établir des trajectoires compatibles avec la dynamique et les contraintes issues de l'usage d'une turbine. Les trajectoires alors calculées permettent une plus grande maîtrise des phénomènes grâce à l'usage d'une fonction d'optimisation bien choisie et d'un retour d'état prédictif à horizon fini. / The integration of renewables at the scale of the network causes new paradigms: the first and most important change is the fact that the electrical power is no longer under control but dependent of the incontinence of renewable sources. This irregularity of production over consumption requires the storage of energy when it is produced to make it available for later. Pump storage plant (PSP) or turbine-pump equiped plants, are by their speed of action, storage capacity and environmentally respectful aspect, the main organs able to satisfy this growing demand energy storage across the network.During this thesis, the modeling problem and enslavement of transients of these sites is considered from the perspective of the turbine group: given a turbine in a hydraulic circuit, what is its dynamic behavior, and what control method ensures the best performances from the standpoint of the response time and stability.The manuscript is then structured around four chapters: the first, aims to introduce more finely issues and a mathematical representation of th dynamic of these sites. The second chapter presents an original method based on a graphic study of a simplified model of the turbine system placed along a linear and constant section penstock. This section establishes the minimum time of action of these plants dependently of the actuator performance and topology of the site. The third chapter contains the main contribution of this work in terms of regulation of a pump storage site: it proposes a linear regulation of the hydraulic circuit in which is the flow of water through the use of a non-linear actuator: the turbine. Finally, to address particular sequences, the fourth and final chapter proposes establishing trajectories compatible with the dynamics and constraints resulting from the use of a turbine. Then the computed trajectories allow greater control of the phenomena through the use of a well chosen optimization function and a predictive with finite horizon state feedback.

Atualmente, há inúmeras instalações offshore operando em regimes instáveis de escoamento. Tal regime é resultado de diâmetros superdimensionados das linhas de produção ou baixa vazão dos poços. Deve-se notar que, muitas vezes, o regime intermitente se instala no final da vida produtiva dos poços, devido ao declínio natural dos reservatórios, o que causa uma redução da produção do campo de petróleo. Tal instabilidade traz dificuldades na produção offshore, pois pode causar danos nos equipamentos da plataforma ou perdas de produção. Neste âmbito, é necessário estudar meios de atenuar ou suprimir este tipo de regime de escoamento. O objetivo deste trabalho é desenvolver métodos de forma a garantir a estabilidade do sistema através da modulação adequada da válvula choke, reduzindo ou mesmo eliminando o comportamento oscilatório da produção, mantendo a válvula choke na maior abertura possível, trazendo desta forma, ganhos econômicos através do aumento da produtividade do poço. Para a análise do sistema, utilizou-se um modelo dinâmico simplificado encontrado na literatura. Este modelo foi escolhido por reproduzir adequadamente o escoamento em golfadas severas, causado pela presença de trecho horizontal descendente na linha de produção. O sistema foi também modelado no OLGA®, sendo este, um software comercial com uso bastante disseminado na indústria de petróleo e com grande aplicação em simulações que exigem uma análise do comportamento transiente do problema. A avaliação da eficácia dos métodos de supressão das golfadas foi realizada através de duas abordagens distintas. Inicialmente, utilizou-se um controlador PI adaptativo com capacidade de operação em diferentes regiões de aberturas da válvula choke. Por fim, utilizou-se um Regulador Linear Quadrático associado a um observador de estados com filtro de Kalman Unscented com o objetivo de verificar como o sistema se comportaria em caso de necessidade de um observador para compensar uma possível falha do sensor submarino de pressão. Em ambos os casos, notou-se redução nas oscilações devido a golfadas do poço. As soluções foram implementadas através da integração entre o modelo do OLGA® e os algoritmos desenvolvidos no MATLAB utilizando servidor OPC. / Nowadays, there are numerous offshore installations operating in unstable flow regimes. Such unstable flow is the result of oversized diameters of production lines or low flow wells. It should be noticed that often the intermittent system occurs at the end of the productive life of wells due to the natural decline of the reservoir, which causes a reduction in oil field production. Such instability brings difficulties in offshore production, it can cause damage to the platform equipment or production losses. In this context, it is necessary to consider means to reduce or remove this type of flow regime. The objective of this work is to develop methods to ensure system stability by adequate modulation of choke valve, reducing or even eliminating the oscillatory behavior of the production, with the biggest choke valve opening possible, bringing economic gains by increasing well production The system analysis was carried out using a simplified dynamic model found in literature. This model was chosen by appropriately reproduction of severe slug flow, caused by the presence of downward horizontal section in the production line. The problem was also modeled on OLGA®, which is a commercial software with widespread use in the oil industry and large application in simulations that require a transient behavior analysis. The evaluation of the slugs suppression methods was carried out through two different approaches. First, an adaptive PI controller with capability to operate in different regions of choke valve openings was used. Finally, a Quadratic Linear Regulator associated to an Unscented Kalman Filter was used to verify how the system would behave in the event of a possible failure of subsea pressure sensor. In both cases, there was a reduction in oscillations due to slugs. The solutions were implemented through communication between the OLGA® model and the control algorithms developed in MATLAB using OPC server.

<p>U ovoj doktorskoj disertaciji razvijena je tehnika upravljanja za<br />pretvarač energetske elektronike pri nesimetričnim naponskim<br />prilikama u elektroenergetskom sistemu. Kao što je pokazano,<br />primenom tehnike poništavanja signala kašnjenjem moguće je<br />izdvajanje komponenti struje inverznog redosleda i njihovo<br />potpuno poništenje, što će omogućiti pouzdanu kontrolu<br />komponenti struje direktnog redosleda upotrebom klasičnih<br />tehnika upraljanja, uz adekvatno unapređenje tehnike za<br />sinhronizaciju sa vektorskim reprezentom napona. Predložena<br />je i upotreba algoritama za poboljšanje parametara kvaliteta<br />električne energije bez dodatnih pasivnih elemenata.</p> / <p>This PhD thesis presents an improved control technique for grid<br />connected converter under asymmetrical voltages at the point of<br />common coupling. As presented, using delay signal cancellation<br />technique it is possible to differentiate and completely mitigate the<br />negative sequence current, offering the possibility of reliable positive<br />sequence current control using classical control algorithms. The<br />improvements made in synchronization offered adequate<br />phase angle estimation under voltage asymmetry. Furthermore, a<br />technique for the improvement of power quality indices without<br />passive elements between the grid and</p>