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We propose a novel framework for multistep predictive current control for induction machines and 3 Level-Neutral Point Clamped Inverter with DC-link balancing. In order to achieve those goals, a nonlinear cost function that weighs different control goals against each other is proposed. The main contribution of this work is the solution of the nonlinear minimization problem of the cost function directly...
We propose a novel framework for multistep predictive current control for induction machines and 3 Level-Neutral Point Clamped Inverter. To ensure low computational complexity The multistep prediction horizon is implemented using a sphere decoding algorithm. The DC-link balancing is guaranteed by adding a linearized DC-link balancing term. In order to obtain high accuracy, the linearization is performed...
We propose a novel framework for multistep predictive current control for induction machines. The main contribution of this work is the achievement of the control goal over a long prediction horizon while reaching DC-link balancing for the accompanying three-level neutral point clamped (3L-NPC) inverters at the same time. The multistep prediction horizon is implemented using a sphere decoding algorithm...
We propose an inertial sensor-based approach to activity recognition for pedestrian indoor navigation. In the considered scenario a mobile device is held in a hand in front of the user. The recognized activities are the ones relevant to positioning in multi-floor buildings: walking and going up or down the stairs. To model the time dependency between consecutive activities we employ a Hidden Markov...
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