Nonlinear Observers for Sensorless Control of Permanent Magnet Synchronous Motors

In this thesis, the industrial application of control a Permanent Magnet Synchronous Motor in a sensorless configuration has been faced, and in particular the task of estimating the unknown “parameters” necessary for the application of standard motor control algorithms. In literature several techniques have been proposed to cope with this task, among them the technique based on model-based nonlinear observer has been followed. The hypothesis of neglecting the mechanical dynamics from the motor model has been applied due to practical and physical considerations, therefore only the electromagnetic dynamics has been used for the observers design. First observer proposed is based on stator currents and Stator Flux dynamics described in a generic rotating reference frame. Stator flux dynamics are known apart their initial conditions which are estimated, with speed that is also unknown, through the use of the Adaptive Theory. The second observer proposed is based on stator currents and Rotor Flux dynamics described in a self-aligning reference frame. Rotor flux dynamics are described in the stationary reference frame exploiting polar coordinates instead of classical Cartesian coordinates, by means the estimation of amplitude and speed of the rotor flux. The stability proof is derived in a Singular Perturbation Framework, which allows for the use the current estimation errors as a measure of rotor flux estimation errors. The stability properties has been derived using a specific theory for systems with time scale separation, which guarantees a semi-global practical stability. For the two observer ideal simulations and real simulations have been performed to prove the effectiveness of the observers proposed, real simulations on which the effects of the Inverter nonlinearities have been introduced, showing the already known problems of the model-based observers for low speed applications.

Impatti dell'adozione di standard privati nel sistema agroalimentare: il caso del BRC Global Standard for Food Safety in Italia

L’argomento scelto riguarda l’adozione di standard privati da parte di imprese agro-alimentari e le loro conseguenze sulla gestione globale dell’azienda. In particolare, lo scopo di questo lavoro è quello di valutare le implicazioni dovute all’adozione del BRC Global Standard for Food Safety da parte delle imprese agro-alimentari italiane. La valutazione di tale impatto è basata sulle percezioni dei responsabili aziendali in merito ad aspetti economici, gestionali, commerciali, qualitativi, organizzativi. La ricerca ha seguito due passaggi fondamentali: innanzitutto sono state condotte 7 interviste in profondità con i Responsabili Qualità (RQ) di aziende agro-alimentari italiane certificate BRC Food. Le variabili estrapolate dall’analisi qualitativa del contenuto delle interviste sono state inserite, insieme a quelle rilevate in letteratura, nel questionario creato per la successiva survey. Il questionario è stato inviato tramite e-mail e con supporto telefonico ad un campione di aziende selezionato tramite campionamento random. Dopo un periodo di rilevazione prestabilito, sono stati compilati 192 questionari. L’analisi descrittiva dei dati mostra che i RQ sono in buona parte d’accordo con le affermazioni riguardanti gli elementi d’impatto. Le affermazioni maggiormente condivise riguardano: efficienza del sistema HACCP, efficienza del sistema di rintracciabilità, procedure di controllo, formazione del personale, miglior gestione delle urgenze e non conformità, miglior implementazione e comprensione di altri sistemi di gestione certificati. Attraverso l’analisi ANOVA fra variabili qualitative e quantitative e relativo test F emerge che alcune caratteristiche delle aziende, come l’area geografica, la dimensione aziendale, la categoria di appartenenza e il tipo di situazione nei confronti della ISO 9001 possono influenzare differentemente le opinioni degli intervistati. Successivamente attraverso un’analisi fattoriale sono stati estratti 8 fattori partendo da un numero iniziale di 28 variabili. Sulla base dei fattori è stata applicata la cluster analysis di tipo gerarchico che ha portato alla segmentazione del campione in 5 gruppi diversi. Ogni gruppo è stato interpretato sulla base di un profilo determinato dal posizionamento nei confronti dei vari fattori. I risultati oltre ad essere stati validati attraverso focus group effettuati con ricercatori ed operatori del settore, sono stati supportati anche da una successiva indagine qualitativa condotta presso 4 grandi retailer inglesi. Lo scopo di questa successiva indagine è stato quello di valutare l’esistenza di opinioni divergenti nei confronti dei fornitori che andasse quindi a sostenere l’ipotesi di un problema di asimmetria informativa che nonostante la presenza di standard privati ancora sussiste nelle principali relazioni contrattuali. Ulteriori percorsi di ricerca potrebbero stimare se la valutazione dell’impatto del BRC può aiutare le aziende di trasformazione nell’implementazione di altri standard di qualità e valutare quali variabili possono influenzare invece le percezioni in termini di costi dell’adozione dello standard.

Knowledge Flows and Networks: the Interplay between Local and Global Linkages within Bangalore IT Cluster

This doctoral work gains deeper insight into the dynamics of knowledge flows within and across clusters, unfolding their features, directions and strategic implications. Alliances, networks and personnel mobility are acknowledged as the three main channels of inter-firm knowledge flows, thus offering three heterogeneous measures to analyze the phenomenon. The interplay between the three channels and the richness of available research methods, has allowed for the elaboration of three different papers and perspectives. The common empirical setting is the IT cluster in Bangalore, for its distinguished features as a high-tech cluster and for its steady yearly two-digit growth around the service-based business model. The first paper deploys both a firm-level and a tie-level analysis, exploring the cases of 4 domestic companies and of 2 MNCs active the cluster, according to a cluster-based perspective. The distinction between business-domain knowledge and technical knowledge emerges from the qualitative evidence, further confirmed by quantitative analyses at tie-level. At firm-level, the specialization degree seems to be influencing the kind of knowledge shared, while at tie-level both the frequency of interaction and the governance mode prove to determine differences in the distribution of knowledge flows. The second paper zooms out and considers the inter-firm networks; particularly focusing on the role of cluster boundary, internal and external networks are analyzed, in their size, long-term orientation and exploration degree. The research method is purely qualitative and allows for the observation of the evolving strategic role of internal network: from exploitation-based to exploration-based. Moreover, a causal pattern is emphasized, linking the evolution and features of the external network to the evolution and features of internal network. The final paper addresses the softer and more micro-level side of knowledge flows: personnel mobility. A social capital perspective is here developed, which considers both employees’ acquisition and employees’ loss as building inter-firm ties, thus enhancing company’s overall social capital. Negative binomial regression analyses at dyad-level test the significant impact of cluster affiliation (cluster firms vs non-cluster firms), industry affiliation (IT firms vs non-IT fims) and foreign affiliation (MNCs vs domestic firms) in shaping the uneven distribution of personnel mobility, and thus of knowledge flows, among companies.

Life Cycle Assessment of Peach Nectar: a comparative analysis between conventional and bioenergy-from-waste integrated food chains

Modern food systems are characterized by a high energy intensity as well as by the production of large amounts of waste, residuals and food losses. This inefficiency presents major consequences, in terms of GHG emissions, waste disposal, and natural resource depletion. The research hypothesis is that residual biomass material could contribute to the energetic needs of food systems, if recovered as an integrated renewable energy source (RES), leading to a sensitive reduction of the impacts of food systems, primarily in terms of fossil fuel consumption and GHG emissions. In order to assess these effects, a comparative life cycle assessment (LCA) has been conducted to compare two different food systems: a fossil fuel-based system and an integrated system with the use of residual as RES for self-consumption. The food product under analysis has been the peach nectar, from cultivation to end-of-life. The aim of this LCA is twofold. On one hand, it allows an evaluation of the energy inefficiencies related to agro-food waste. On the other hand, it illustrates how the integration of bioenergy into food systems could effectively contribute to reduce this inefficiency. Data about inputs and waste generated has been collected mainly through literature review and databases. Energy balance, GHG emissions (Global Warming Potential) and waste generation have been analyzed in order to identify the relative requirements and contribution of the different segments. An evaluation of the energy “loss” through the different categories of waste allowed to provide details about the consequences associated with its management and/or disposal. Results should provide an insight of the impacts associated with inefficiencies within food systems. The comparison provides a measure of the potential reuse of wasted biomass and the amount of energy recoverable, that could represent a first step for the formulation of specific policies on the integration of bioenergies for self-consumption.

A new global wheat marketmodel (GLOWMM) for the analysis of wheat export prices

Food commodity prices fluctuations have important impacts on poverty and food insecurity across the world. Conventional models have not provided a complete picture of recent price spikes in agricultural commodity markets, while there is an urgent need for appropriate policy responses. Perhaps new approaches are needed in order to better understand international spill-overs, the feedback between the real and the financial sectors and also the link between food and energy prices. In this paper, we present results from a new worldwide dynamic model that provides short and long-run impulse responses of wheat international prices to various real shocks.