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This paper proposes the optimization of a GMM system for the automatic recognition of numerical commands of voice using Chaotic Particle Optimization (CPSO). In addition preprocessing the speech signal with mel-frequency cepstral coefficients, we use the discrete cosine transform (DCT) to generate a two-dimensional temporal array used as input to a GMM system to generate the pattern of the words to...
The minimal time optimality and the minimal energy optimality are often considered as competing approaches in the trajectory planning for precision movement of the wafer stages in electronic industry. We present here the theoretical and simulation results showing that with appropriate choice of the constraints these approaches are equivalent in the sense that they produce the same trajectory. The...
This paper considers a control approach for synchronous reluctance machines operating at variable speed regimes based on modern robust control tools. The main challenge arises from the inherent nonlinear magnetic behavior of the machine, caused by core saturation and cross saturation phenomena, resulting in a nonlinear dependence of the machine inductances from the instantaneous values of both direct...
This paper presents an optimal scheduling and real-time power management for islanded microgrid. Based on prediction data, a multi-objective cost function is formulated aiming to minimize the total energy cost by reducing the diesel-generator fuel consumption and load shedding, while respecting the storage parameters and microgrid operation constraints. The problem is solved with two different optimization...
Model Predictive Control (MPC) offers a variety of advantages against linear control approaches (e.g. PI-Controller). Due to new approaches real-time implementation of MPC is already possible for permanent magnet synchronous motors with interior magnets (IPMSM). While the choice of the structure of the objective function to be minimized is quite intuitive, the adjustment of its weighting factors is...
This paper presents a combinatorial approach used to solve an optimization problem including component sizing and energy management control applied to an offroad hybrid electric vehicle with durability constraints. The problem under consideration is the optimization of the hybrid power supply system of an electric mini-excavator. It is composed of a fuel cell system and one energy storage system,...
This paper presents an optimization design methodology for CCM PFC Boost converters with volume and efficiency objectives. The optimization methodology, achieved by mathematical interactions, is based on the concept of the converter integrated design, in other words, all the main physical converter components are designed simultaneously in the function of a pair of overall variables. The integrated...
The paper presents the optimum design of a Permanent Magnet Synchronous Generator for wind power applications. The proposed optimization strategy deals with two contradictory objectives: to reduce generator costs and to raise the energy yield. This task is accomplished by maximizing the difference between the energy proceeds and the generator costs. The generator operating cycle is taken into account...
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