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Nowadays advanced software programs are actively used in the field for simulation and modeling. LabVIEW and MATLAB/Simulink are both graphical programming languages, allowing a more efficient method to perform and analyze control systems. Therefore, they are the most commonly used software programs for these purposes. Moreover; in some applications — like hardware in the loop systems, flight simulations...
The paper presents a technique for parameter estimation of photovoltaic (PV) modules from datasheet information. The manufacturer normally provides open-circuit voltage, short-circuit current, maximum power, and voltage at maximum power under the standard test conditions (STC). The four datasheet values represent the targeted performance of the module. Parameter estimation is formulated as an optimization...
This paper proposes a method to analyse stability of multi-rate system. Multi-rate systems are used to simulate different part of the circuit with different sampling rate. This allows to reduce computational burden of stiff system; by choosing the most appropriate time-step according to the time constant of the phenomena studied. Traditionally, stability of discrete system is done by studying the...
Accurate computational simulations are highly required to properly assess the performance of power grids under high penetration levels of non-conventional generation which connects to the grid via static power converters. However, software packages that are typically used to perform power system analysis may not necessarily have the capacity to efficiently perform detailed simulations of power grids...
This paper analyses the capacity of a new FPGA-based System-on-Chip (SoC) platform for the control of electrical systems. These new SoC platforms integrate both an FPGA fabric and a powerful processor. Among these platforms the Xilinx Zynq-7000 All Programmable (AP) System on-Chip is evaluated. The chosen algorithmic benchmark consists on a realtime simulation of a Voltage Source Rectifier (VSR) connected...
Plant-wide control in a circulating fluidized bed (CFB) power plant is considered. In particular, the self-optimizing control approach is used. The main contribution is applying the analysis in a pilot-sized CFB, which has not been reported before. This work focuses on conventional air-fired CFB combustion, for which a lot of experience on control design is already available. Therefore the results...
Sequential Monte Carlo methods (Particle Filters) have been successfully applied to the online training of neural networks. However the generic Particle Filter requires the model noise to be known prior to training. Furthermore, the random walk assumption with which the network weights are modeled by may be problematic as a result of the insufficient knowledge of the model noise. In this paper, the...
System modeling and variables estimation are two important task in direct control strategies. In those schemes, the system performance is strongly related with the accuracy of the discrete-time model, especially for time-varying systems, e.g., high-performance motor drive applications. This investigation presents a numerical comparison between several discrete-time models of the induction machine...
This paper presents a methodology and a tool for modeling and simulating job assignment and migrations in large scale cloud infrastructures consisting of hundreds of thousands of processing, storage and networking nodes. Each cloud node, whether a server, or a disk array or a network element can be modeled according to a generalized single node queuing model, with appropriate parameterization and...
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