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A novel fuzzy logic control technique tuned by particle swarm optimization for maximum power point tracking for a photovoltaic system using a current-mode boost converter with bifurcation control
(2010-04-01)
Khaehintung, Noppadol
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Kunakorn, Anantawat
;
Sirisuk, Phaophak
This paper presents a novel fuzzy logic control technique tuned by particle swarm optimization (PSO-FLC) for maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed PV system composes of a current-mode boost converter (CMBC) with bifurcation control. An optimal slope compensation technique is used in the CMBC to keep the system adequately remote from the first bifurcation point in spite of nonlinear characteristics and instabilities of this converter. The proposed PSO technique allows easy and more accurate tuning of FLC compared with the trialand-error based tuning. Consequently, the proposed PSO-FLC method provides faster tracking of maximum power point (MPP) under varying light intensities and temperature conditions. The proposed MPPT technique is simple and particularly suitable for PV system equipped with CMBC Experimental results are shown to confirm superiority of the proposed technique comparing with the conventional PVVC technique and the trial-and-error based tuning FLC. © ICROS, KIEE and Springer 2010.
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Low cost RISC implementation of intelligent ultra fast charger for Ni-Cd battery
(2008-02-01)
Petchjatuporn, Panom
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Sirisuk, Phaophak
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Khaehintung, Noppadol
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Sunat, Khamron
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Wicheanchote, Phinyo
This paper presents a low cost reduced instruction set computer (RISC) implementation of an intelligent ultra fast charger for a nickel-cadmium (Ni-Cd) battery. The charger employs a genetic algorithm (GA) trained generalized regression neural network (GRNN) as a key to ultra fast charging while avoiding battery damage. The tradeoff between mean square error (MSE) and the computational burden of the GRNN is addressed. Besides, an efficient technique is proposed for estimation of a radial basis function (RBF) in the GRNN. Hardware realization based upon the techniques is discussed. Experimental results with commercial Ni-Cd batteries reveal that while the proposed charger significantly reduces the charging time, it scarcely deteriorates the battery energy storage capability when compared with the conventional charger. © 2007 Elsevier Ltd. All rights reserved.
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Control of bifurcation by fuzzy logic controller for current-mode boost converters
(2007-12-01)
Khaehintung, Noppadol
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Sirisuk, Phaophak
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Kunakorn, Anantawat
This paper presents the design of a fuzzy logic controller for switching current-mode DC/DC boost converters. The proposed simple fuzzy logic controller, with nine rules, provides an optimal slope compensation to keep the system adequately remote from the first bifurcation point by means of reducing the current spectrum peak. In spite of nonlinear characteristics and instabilities of the converter, the performance of the closed-loop control system can be considerably improved to avoid bifurcation phenomena. It is found that the technique introduced in this paper gives satisfactory results with the regulating and tracking modes under changes in operating conditions. © 2006 IEEE.
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Implementation of fuzzy logic controller with bifurcation control of a current-mode boost converter
(2007-12-01)
Khaehintung, Noppadol
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Sirisuk, Phaophak
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Kunakorn, Anantawat
This paper presents the design of a basic fuzzy logic controller for switching current-mode DC/DC boost converters. The proposed simple fuzzy logic controllers used only nine rules to regulate output voltage. Moreover, they provide an optimal slope compensation to keep the system adequately remote from the first bifurcation point by mean of stabilizing around the reference signal. In spite of nonlinear characteristics and instabilities of the converter, the performance of the closed-loop control system can be considerably improved to avoid bifurcation phenomena. The experimental results found that these technique introduced in this paper give satisfactory results with the regulating and tracking modes under changes in operating conditions. © 2007 IEEE.
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An adaptive fuzzy logic controller by sliding mode control method for DC/DC converter
(2005-12-01)
Khaehintung, Noppadol
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Kunakorn, Anatawat
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Aorpimai, Manop
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Sirisuk, Phaophak
This paper presents the design of an adaptive fuzzy logic controller for DC/DC buck converters. The proposed controller uses a sliding mode control mechanism to improve the performance of a conventional buck converter. Despite of the nonlinear behavior of the converter, the performance of the closed-loop control system can be considerably improved compared to the results gained from other previously proposed schemes, such as the adaptive fuzzy logic controller by back propagation algorithm. This claim is obviously shown by the simulation and experimental results both in regulating and tracking modes. © 2005 IEEE.
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Grid-connected photovoltaic system with maximum power point tracking using self-organizing fuzzy logic controller
(2005-12-01)
Khaehintung, Noppadol
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Kangsajian, Chaiboon
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Sirisuk, Phaophak
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Kunakorn, Anatawat
This paper presents the design of a controller for the maximum power point tracking of a grid-connected photovoltaic energy conversion system. A boost converter is used in the system to deliver the output from the solar array to DC-AC inverter, and feed the power into the AC grid. A self-organizing fuzzy logic controller is introduced for the tracking algorithm. The duty ratio for the operation of the boost converter is optimally adjusted in such a way that the maximum power point, which normally varies according to the environment, can be achieved. We demonstrate via the simulation results that our proposed technique outperforms over the conventional fuzzy logic controller in terms of tracking speed and transient response. Furthermore, the algorithm implementation can be done using a look-up table, hence a high-performance, cost-effective real-time maximum power point tracking can be simply realized. © 2005 IEEE.
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Grid-connected photovoltaic system with maximum power point tracking using self-organizing fuzzy logic controller
(2005-01-01)
Khaehintung, Noppadol
;
Sirisuk, Phaophak
;
Kunakorn, Anatawat
This paper presents the design of a controller for the maximum power point tracking of a grid-connected photovoltaic energy conversion system. A boost converter is used in the system to deliver the output from the solar array to DC-AC inverter, and feed the power into the AC grid. A self-organizing fuzzy logic controller is introduced for the tracking algorithm. The duty ratio for the operation of the boost converter is optimally adjusted in such a way that the maximum power point, which normally varies according to the environment, can be achieved. We demonstrate via the simulation results that our proposed technique outperforms over the conventional fuzzy logic controller in terms of tracking speed and transient response. Furthermore, the algorithm implementation can be done using a look-up table, hence a high-performance, cost-effective real-time maximum power point tracking can be simply realized.
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A solar-powered battery charger with neural network maximum power point tracking implemented on a low-cost PIC-microcontroller
(2005-01-01)
Petchjatuporn, Panom
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Sirisuk, Phaophak
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Ngamkham, Wannaya
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Kiranon, Wiwat
;
Khaehintung, Noppadol
This paper presents the development of a maximum power point tracking algorithm using an artificial neural network for a solar power system. By applying a three layers neural network and some simple activation functions, the maximum power point of a solar array can be efficiently tracked. The tracking algorithm integrated with a solar-powered battery charging system has been successfully implemented on a low-cost PIC16F876 RISC-microcontroller without external sensor unit requirement. The experimental results with a commercial solar array show that the proposed algorithm outperforms the conventional controller in terms of tracking speed and mitigation of fluctuation output power in steady state operation. The overall system efficiency is well above 90%.

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