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We present a simplified Mixed Logical Dynamic (MLD) model for DC-DC Boost converter using less number of binary variables and continuous variables. A constrained optimal problem is formulated and solved based on Model Predictive Control (MPC) using the simplified MLD model. The optimized switching signal derived by the MPC regulates the output voltage. The MLD modeling of the converter is accurate...
We report the results of the application of the Model-based Predictive Control (MPC) algorithm for a 3×3 MIMO balls mill grinding system by using computational simulation and Monte Carlo data generation. For this purpose, the system has been identified through a reduced scheme of Volterra formalism by which the proposed methodology has required to employ up to 20 parameters. Subsequently, the model...
This work presents a comparative analysis of a successively evaluated state space model-based predictive control approach used to drive a five-phase permanent magnet synchronous motor. It is presented a five-phase motor modelling and control theoretical basis main concept, including the prediction model preparation, as well unconstrained and constrained formulations. Both formulations are used and...
This work proposes a study about using the successively evaluated state space model-based predictive control to drive a permanent magnet synchronous motor. The objective of this paper is to show as the control constraints and the anticipative reference characteristics influence in the drive. Still, it is done a brief analysis about the improvement of the drive efficiency with the proposed control...
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 new and simple Finite Control Set Model Predictive Control (FCS-MPC) strategy of the Modular Multilevel Matrix Converter (M3C). This converter is one of the direct AC/AC power converters suitable for medium-voltage high-power machine drives with regenerative capacity. One of the main feature of this converter is that does not need external dc-voltage supplies and thus, all capacitor...
Systems need to know the physical locations of objects and people to optimize user experience and solve logistical and security issues. Also, there is a growing demand for applications that need to locate individual assets for industrial automation. This work proposes an indoor positioning system (IPS) able to estimate the item-level location of stationary objects using off-the-shelf equipment. By...
This paper develops and experimentally-validates a new model predictive control based design for grid-connected three phase voltage source converter. In particular, the operation of a three phase voltage source converter in the stationary frame is considered where signals that vary sinusoidally with a period determined by the grid frequency must be controlled. Hence the internal model principle is...
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