This paper presents the development of maximum power point tracking (MPPT) using a fuzzy logic controller (FLC). By applying the synthetic fuzzy inference algorithm, the relationship between input and output of FLC ca...
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ISBN:
(纸本)0780385608
This paper presents the development of maximum power point tracking (MPPT) using a fuzzy logic controller (FLC). By applying the synthetic fuzzy inference algorithm, the relationship between input and output of FLC can be effectively stored in a memory-limited lookup table (LUT). As a consequence, the controller can be efficiently implemented on a low-cost 16F872 risc microcontroller. The proposed controller is integrated with a boost converter for realization of a high performance Solar-Powered Battery Charger (SPBC). Simulations with practical parameters show that our proposed MPPT using FLC implemented by LUT outperforms the conventional MPPT controller in terms of tracking speed. Moreover, preliminary experimental results are presented.
The authors describe the analysis, modelling and implementation of a fuzzy based photovoltaic peak power tracking system. The maximum power of a photovoltaic system changes with temperature, solar intensity and load. ...
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The authors describe the analysis, modelling and implementation of a fuzzy based photovoltaic peak power tracking system. The maximum power of a photovoltaic system changes with temperature, solar intensity and load. An analytical model is built for the solar cell on the basis of the manufacturer's characteristics. The solar panel is integrated with the converter model and a fuzzy algorithm is developed, so as to perform an online search procedure to track the maximum power continuously. The system is implemented by an inexpensive risc microcontroller. Experimental results have shown excellent performance, robustness with parameter variation and modularity for parallel operation at higher power. The system is ready and easy to fit into existing installations.
Intellectual Property (IP) cores represent the heart of the most advanced controller designed systems. In this work, a well-structured microcontroller IP-core named MCIP for "microcontroller IP" is developed...
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ISBN:
(纸本)9781479985470
Intellectual Property (IP) cores represent the heart of the most advanced controller designed systems. In this work, a well-structured microcontroller IP-core named MCIP for "microcontroller IP" is developed to provide not only major functionalities and features of a powerful microcontroller but to serve as a versatile tool for developing and validating new design research techniques with complex configurations and environment. MCIP is fully compatible with Microchip PIC18 family;it is presented as a configurable core which supports a variety of program and data memory sizes, easily adapted to any PIC18 device, and executes any developed program on assembly code or high level language. Performed evaluations have shown that MCIP is the fastest among evaluated 8-bit microcontrollers. In addition, the design was downloaded and tested on different FPGA platforms. Then through the MCIP versatile configuration features, the two main RFID components, tag and reader, have been developed and evaluated on Digilent Genesys Virtex-5 and Avnet Spartan-6 boards.
We describe the design and evaluation of an electronic system for the automatic recording of motor activity in rats. The device continually locates the position of a rat inside a transparent acrylic cube (50 cm/side) ...
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We describe the design and evaluation of an electronic system for the automatic recording of motor activity in rats. The device continually locates the position of a rat inside a transparent acrylic cube (50 cm/side) with infrared sensors arranged on its walls so as to correspond to the x-, y-, and z-axes. The system is governed by two micro-controllers. The raw data are saved in a text file within a secure digital memory card, and offline analyses are performed with a library of programs that automatically compute several parameters based on the sequence of coordinates and the time of occurrence of each movement. Four analyses can be made at specified time intervals: traveled distance (cm), movement speed (cm/s), time spent in vertical exploration (s), and thigmotaxis (%). In addition, three analyses are made for the total duration of the experiment: time spent at each x-y coordinate pair (min), time spent on vertical exploration at each x-y coordinate pair (s), and frequency distribution of vertical exploration episodes of distinct durations. User profiles of frequently analyzed parameters may be created and saved for future experimental analyses, thus obtaining a full set of analyses for a group of rats in a short time. The performance of the developed system was assessed by recording the spontaneous motor activity of six rats, while their behaviors were simultaneously videotaped for manual analysis by two trained observers. A high and significant correlation was found between the values measured by the electronic system and by the observers.
This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery cha...
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This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery charging time on a cost-effective risc microcontroller. The suitable input-output data were selected from GA mechanism to establish GRNN. The computational complexity of GRNN can be reduced replaced by some simple polynomial forms. As a consequence, the fast charging device for Nickel-Cadmium (Ni-Cd) batteries can be efficiently implemented on a low-cost 16F876A risc microcontroller. Experimental results are shown to demonstrate superiority of the proposed system.
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