Robust control of DC-DC converter by high-order approximate 2-degree-of-freedom digital controller

Higuchi, Kohji; Nakano, Kazushi; Kajikawa, T.; Takegami, Eiji; Tomioka, Satoshi; Watanabe, Keiji

doi:10.1109/iecon.2004.1431863

Cited by 14 publications

(6 citation statements)

References 5 publications

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“…When the lines long, it is necessary to design the controller in consideration of the sizes of the inductances. The authors proposed previously the robust digital controller when using LC filter as the noise removal filter of DC-DC converter [2], [3]. At remote sensing, the inductances of the lines must also be taken into consideration and it must be assumed that LCLC filter is connected.…”

Section: Introductionmentioning

confidence: 99%

Digital robust controller for DC-DC converter at remote sensing

Takegami

Higuchi

Nakano

et al. 2008

2008 SICE Annual Conference

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If the lines which connect the output terminal of DC-DC converter and the load are long, the voltage actually across load will be changed largely to produce the voltage drops by the impedances of the lines. Then, the terminal which senses the voltage across load is prepared apart from the output terminal of DC-DC converter, and it leads to the load, and the voltage across load is adjusted so that it is not changed largely. This method is called remote sensing. When the lines becomes long, the usual method of adjusting the voltage across load cannot suppress enough the change of it. In this paper, the robust digital controller for suppressing the change of the voltage across load is proposed. Experimental studies using DSP demonstrate that this type of digital controller is effective to suppress it.

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Section: Introductionmentioning

confidence: 99%

Digital robust controller for DC-DC converter at remote sensing

Takegami

Higuchi

Nakano

et al. 2008

2008 SICE Annual Conference

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show abstract

“…When the lines long, it is necessary to design the controller in consideration of the sizes of the inductances. The authors proposed previously the robust digital controller when using LC filter as the noise removal filter of DC-DC converter (Higuchi et al, 2004(Higuchi et al, , 2005. At remote sensing, the inductances of the lines must also be taken into consideration and it must be assumed that LCLC filter is connected.…”

Section: Introductionmentioning

confidence: 99%

Robust Control for Output Voltage Across Load of DC-DC Converter Matching with Remote Sensing

Takegami¹,

Higuchi

Nakano

et al. 2008

IFAC Proceedings Volumes

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“…The authors [10,11,17] have designed a different control model and implementation has been made to regulate DC-DC converter by using a digital signal processor (DSP TMS320C50).…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

“…In recent years, there has been increasing interest in the development of efficient control strategies to improve dynamic behavior of DC-DC converters by using traditional PID based controllers Р е п о з и т о р и й Б Н Т У 2 and fuzzy logic controller (FLC), neural networks (NN), and neuro-fuzzy controller or adaptive fuzzy logic controller (AFLC) which have been used to control buck, boost and buck-boost converter which were presented. The authors [8][9][10][11][12][13][14] have designed a different control model and implementation has been made to regulate DC-DC converter by using a digital signal processor (DSP TMS320C50). Different control technologies were used to control DC-DC converter using a microcontroller and an extra specialized hardware proposed a FLC that uses an optimal algorithm, and they have given experimental results.…”

Section: Introductionmentioning

confidence: 99%

A study of maximum power point tracking algorithm for photovoltaic systems using a fuzzy logic controller

Elzein¹,

Petranko²

2014

Automation, Mechanical and Electrical Engineering

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Solar panels have a nonlinear voltage-current characteristic, with a distinct maximum power point (MPP), which depends on the environmental factors, such as temperature and irradiation. In order to continuously harvest maximum power from the solar panels, they have to operate at their MPP despite the inevitable changes in the environment. This is why the controllers of all solar power electronic converters employ some method for maximum power point tracking (MPPT). Over the past years many MPPT techniques have been published and based on that the main paper's objective is to analyze one of the most promising MPPT control algorithms: fuzzy logic controller. I. IntroductionAccording to the realization of high efficiency and low cost photovoltaic (PV) modules, interest in photovoltaic power generation system has increased over the past decade as a clean and infinite energy [1]. The PV modules have maximum operating points corresponding to the surrounding condition such as intensity of the sunlight, the temperature of the PV modules, cell area, and load. When solar energy is used as a power source, the output power has to be maximized by improving the efficiency of the power conditioning equipment used and implementing an adaptive power controller that automatically tracks the system to the point of maximum power delivered from the solar panel under all conditions.

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Robust control of DC-DC converter by high-order approximate 2-degree-of-freedom digital controller

Cited by 14 publications

References 5 publications

Digital robust controller for DC-DC converter at remote sensing

Digital robust controller for DC-DC converter at remote sensing

Robust Control for Output Voltage Across Load of DC-DC Converter Matching with Remote Sensing

A study of maximum power point tracking algorithm for photovoltaic systems using a fuzzy logic controller

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