Cardiac excitation is a fundamental mechanism within the heart's function. One way to understand this mechanism is by using numerical modeling techniques. However, an immense amount of computational time has been ...
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ISBN:
(纸本)9783319117768;9783319117751
Cardiac excitation is a fundamental mechanism within the heart's function. One way to understand this mechanism is by using numerical modeling techniques. However, an immense amount of computational time has been required in the simulation that generally involves a large number of parameters. In this paper a simulation study of Luo Rudy Phase I (LR-I) mathematical model by using MATLAB Simulink to solve ordinary differential equations (ODEs) using field programmable gate array (fpga) towards a real-time simulation of cardiac excitation has been presented. The fpga could be the best solutions because it is able to provide high performance in solving higher order ODEs for real-time hardware implementation. In fact, the fpga hardware design can be accelerated by using MATLAB Simulink HDL Coder that automates the hardware description language (HDL) code generation from designed MATLAB Simulink blocks. Furthermore, HDL designed implementation can be verified by using HDL Verifier such as co-simulation and fpga-in-the-loop (FIL) approaches to simulate the generated HDL code and verify the results. In this paper, results show that the LR-I cardiac excitation modeling is successfully simulated by the MATLAB Simulink and by using the HDL Coder the designed MATLAB Simulink model is successfully converted into VHDL code and verified through the FIL. These have given a positive outlook towards the fpga hardware implementation for real-time simulation.
This paper presents an accurate, simplified, explicit, and fast computing one-step model for a practical photovoltaic (PV) module without the need of heavy offline calculations, lookup tables, or iterative methods. A ...
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This paper presents an accurate, simplified, explicit, and fast computing one-step model for a practical photovoltaic (PV) module without the need of heavy offline calculations, lookup tables, or iterative methods. A closed-form expression of the model shaping factor is provided, which paves the way to explicitly locate the maximum power point (MPP). Based on the obtained closed-form shaping factor expression, an adaptive maximum power point tracking (MPPT) algorithm is proposed. The proposed adaptive MPPT algorithm is implemented in a field-programmable gate array (fpga) and verified using an fpga-in-the-loop simulation, under rapid changes in temperature and irradiance, with comparisons to perturb and observe (P&O) and incremental conductance (InCond) MPPT methods. Moreover, two experimental case studies are discussed to highlight the validity of the proposed work. (C) 2020 Elsevier Ltd. All rights reserved.
The paper examines a method for development of a Field Programmable Gate Array (fpgas)-based implementation of hardware model for the electrical excitation-conduction in cardiac tissue based on FitzHugh-Nagumo (FHN) m...
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ISBN:
(纸本)9783319117768;9783319117751
The paper examines a method for development of a Field Programmable Gate Array (fpgas)-based implementation of hardware model for the electrical excitation-conduction in cardiac tissue based on FitzHugh-Nagumo (FHN) mathematical model towards real-time simulation. The FHN model is described by a set of nonlinear Ordinary Differential Equations (ODEs) that includes two dynamic state variables for describing the excitation and the recovery states of a cardiac cell and the model is able to reproduce many characteristics of electrical excitation in cardiac tissues. In this paper, one dimensional (1D) FHN cable model is designed using MATLAB Simulink in order to simulate the conduction of cardiac excitation in coupled nonlinear systems of the heart dynamics. The designed MATLAB Simulink model is then being used for Very High Speed Integrated Circuit (VHSIC) Hardware Description Language (VHDL) code generation by using HDL Coder that will be implemented on a hardware design fpga platform of Xilinx Virtex-6 fpga board. In order to verify and analyze the designed algorithm on the platform, HDL Verifier is used through co-simulation with fpga-in-the-loop (FIL) simulation and it has shown a significant result which has increased confidence that the algorithm will work in the real fpga stand-alone application. Therefore, these approaches provide an effective fpga design flow towards a stand-alone implementation to perform real-time simulations of the cellular excitation-conduction in a large scale cell models.
This paper discusses real-time fpga implementation of a nonlinear robust control technique namely Sliding Mode Control (SMC) for a DC/DC boost converter. Mathematical model of the DC/DC boost converter is first descri...
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ISBN:
(纸本)9781467391276
This paper discusses real-time fpga implementation of a nonlinear robust control technique namely Sliding Mode Control (SMC) for a DC/DC boost converter. Mathematical model of the DC/DC boost converter is first described and Sliding Mode Control law is designed for the plant model. The controller is then implemented in fpga device using Xilinx System Generator and FIL (fpga-IN-THE-loop) simulations are performed to test robustness of the system and its sensitivity to load and input voltage variations in Simulink environment using Xilinx System Generator (XSG) hardware co-simulation tool.
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