13,788 research outputs found

    Caltech 101

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    Pictures of objects belonging to 101 categories. About 40 to 800 images per category. Most categories have about 50 images. Collected in September 2003 by Fei-Fei Li, Marco Andreetto, and Marc'Aurelio Ranzato. The size of each image is roughly 300 x 200 pixels. We have carefully clicked outlines of each object in these pictures, these are included under the 'Annotations.tar'. There is also a MATLAB script to view the annotations, 'show_annotations.m'.Related Publication: One-shot learning of object categories Li, Fei-Fei Fergus, Rob Perona, Pietro IEEE Transactions on Pattern Analysis and Machine Intelligence 2006-10-16 https://doi.org/10.1109/TPAMI.2006.79 en

    Control of a five-phase synchronous motors with third harmonic constrained injection

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    This paper deals with the torque control of five-phase permanent magnet synchronous machines with first and third harmonics injection. A new vectorial approach to describe the voltage and current limits is proposed. Starting from the transformed dynamic equations and using the voltage and current constraints, the optimal current references minimizing the dissipation and maximizing the torque is obtained. The proposed control law holds for an arbitrary shape of the rotor flux. Some simulation results validate the proposed control law

    Dynamic modeling of multi-phase hybrid stepper motors

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    The paper presents the dynamic modeling of Multi-phase Hybrid Stepper Motors (MHSM). The model is as general as possible and it is obtained using a Lagrangian approach in the frame of the Power-Oriented Graphs (POG) technique. The obtained dynamic models can be directly implemented in Simulink and they can be used to simulate also the Permanent Magnet and the Variable Reluctance stepper motors. Some simulation results are finally presented

    Multi-phase vectorial control of synchronous motors with currents and voltages saturations

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    This paper deals with the torque control of ms-phase synchronous machines where the first odd harmonics below ms are injected. A new vectorial approach to describe the voltage and current limits is proposed. Starting from the transformed dynamic equations and using the voltage and current constraints, the optimal current references is obtained. It holds for an arbitrary number of star connected phases and an arbitrary shape of the rotor flux. Some simulation results for a 7-phase motor validate the proposed control law

    Modeling of multi open phase fault condition of multi-phase permanent magnet synchronous motors

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    This paper deals with the modeling of multi-phase permanent magnet synchronous motors under multi open phase fault condition. The presented model is suitable for generic number of phases, generic shape of the rotor flux and generic number of open circuit faults. The motor model in fault condition can be used for faults occurring on both adjacent and not adjacent phases. The model can be very useful both for simulation and implementation of fault-tolerant control strategies

    Multi-phase synchronous motors: Minimum dissipation fault-tolerant controls

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    Multi-phase electrical motors offer high reliability thanks to their capability to operate safely even in case of faults such the loss of one or more phases. This paper presents a new vectorial approach that allows to obtain the optimal current references for a multi-phase permanent magnet synchronous motor under open-phase fault condition. The approach is as general as possible: the proposed control law can be used for any shape of the rotor flux, for a generic odd number of phases and in presence of one or more phase failures. The presented control ensures to obtain the desired torque without ripple, minimizing the dissipation, even in fault condition. Some simulation results validate the proposed control law

    MABS validation through repeated execution and data mining analysis

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    Agent Based Modelling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail. Besides, there are agent based formalisms which allow to study the emergency of social behaviour with the creation and study of models, known as artificial societies. Thanks to the ever increasing computational power, it's been possible to use such models to create software, based on intelligent agents, which aggregate behaviour is complex and difficult to predict, and can be used in open and distributed systems. Data mining is born in the last decades in order to help users in finding useful knowledge from the otherwise overwhelming amount of data available nowadays from the web and the data collected every day by companies. Data Mining techniques can therefore be the keystone to reveal non-trivial knowledge expressed by the initial assumption used to build the micro-level of the model and the structure of the society of agents that emerged from the simulation

    Saturated Vectorial Control of Multi-phase Synchronous Motors

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    This paper deals with the torque control of multi-phase permanent magnet synchronous machines. The dynamic model of these motors is obtained using the Power-Oriented Graphs technique. This graphical modeling technique allows to write the dynamic equations of the system in a very compact form. Starting from the dynamic equations, a torque control law with saturated input voltages is proposed based on a new current vector approach for describing the voltage constraint. Some simulation results validate the proposed control law

    Dynamic Modeling and Control of Power-Split HEV with Multi-phase Electric Machines under Fault Condition

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    The aim of this paper is to provide a dynamic model of the Toyota Hybrid System (THS) for simulation and control purposes in the case of fault of one of the electric machines. The two three-phase electric machines that are commonly used in THS are here replaced by two five-phase machines. The model of the whole system is realized by using the Power-Oriented Graphs modeling technique and includes the dynamics of the engine, electric machines, planetary gear, transmission and vehicle. A rule-based control strategy is used to operate the vehicle in different operation modes and a fault-tolerant control is applied in the case of electrical machine failure. Simulation results are given in both healthy and fault condition to show the effectiveness of the dynamic model and the robustness of the proposed control

    Modeling of multi-phase permanent magnet synchronous motors under open-phase fault condition

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    This paper deals with the modeling of multi-phase permanent magnet synchronous motors under open-phase fault condition. Multi-phase electrical motors offer high reliability thanks to their capability to operate safely even in case of faults such the loss of some phase. In this paper the model of a multi phase PM machine in the case of open phase fault condition is proposed. The model is suitable for faults occurring at any phases: the faults can happen on one single phase or more than one phase (both adjacent and not adjacent phases). Moreover the model holds for any shape of the rotor flux and for a generic odd number of phases
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