Fuzzy logic controller on DC/DC boost converter

Ismail, Nurlaila; Musirin, Ismail; Baharom, Rahimi; Johari, Dalina

doi:10.1109/pecon.2010.5697663

Cited by 52 publications

(25 citation statements)

References 6 publications

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“…The basic structure of a FLC is shown in Figure A1, and mainly consists of four parts: a fuzzifier or fuzzification where the input data is converted into suitable linguistic values [97]; a knowledge base, conformed by a database with the necessary linguistic definitions and the control rule set which provide the knowledge that helps to control the system in the best possible manner [64,97]; a decision-making which, simulate a human decision process, infer the fuzzy control action from the knowledge of the control rules and linguistic variable definitions [97]; a defuzzification which yields non fuzzy control action from an inferred fuzzy control action [97,98]. The basic structure of a FLC is shown in Figure A1, and mainly consists of four parts: a fuzzifier or fuzzification where the input data is converted into suitable linguistic values [97]; a knowledge base, conformed by a database with the necessary linguistic definitions and the control rule set which provide the knowledge that helps to control the system in the best possible manner [64,97]; a decisionmaking which, simulate a human decision process, infer the fuzzy control action from the knowledge of the control rules and linguistic variable definitions [97]; a defuzzification which yields non fuzzy control action from an inferred fuzzy control action [97,98]. The cost function or objective function is given as [81,101]: The basic structure of a FLC is shown in Figure A1, and mainly consists of four parts: a fuzzifier or fuzzification where the input data is converted into suitable linguistic values [97]; a knowledge base, conformed by a database with the necessary linguistic definitions and the control rule set which provide the knowledge that helps to control the system in the best possible manner [64,97]; a decisionmaking which, simulate a human decision process, infer the fuzzy control action from the knowledge of the control rules and linguistic variable definitions [97]; a defuzzification which yields non fuzzy control action from an inferred fuzzy control action [97,98].…”

Section: Acknowledgmentsmentioning

confidence: 99%

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

et al. 2018

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Abstract:Energy storage has become a fundamental component in renewable energy systems, especially those including batteries. However, in charging and discharging processes, some of the parameters are not controlled by the battery's user. That uncontrolled working leads to aging of the batteries and a reduction of their life cycle. Therefore, it causes an early replacement. Development of control methods seeks battery protection and a longer life expectancy, thus the constant-current-constant-voltage method is mostly used. However, several studies show that charging time can be reduced by using fuzzy logic control or model predictive control. Another benefit is temperature control. This paper reviews the existing control methods used to control charging and discharging processes, focusing on their impacts on battery life. Classical and modern methods are studied together in order to find the best approach to real systems.

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Section: Acknowledgmentsmentioning

confidence: 99%

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

et al. 2018

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“…This is shown in Figure 2. ∆i L refers to unit change of the inductor current and it is expressed mathematically as in equation (4).…”

Section: Figure2 Continuous Current Conduction State A) Switch Inmentioning

confidence: 99%

“…Nowadays, DC-DC converters circuits are the mostly used circuits in power electronics applications, since all semiconductor components are powered by DC sources [2,3]. DC-DC converters are controlled in order to obtain a stabilized output voltage from a given input DC Voltage [3][4][5]. DC/DC converters are used in many fields such as electrical vehicle technology, switching mode power supplies, energy production, control and communication devices and robotic apps [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Pso Based Fuzzy Logi̇c Control Desi̇gn for a Dc/Dc Boost Converter

Akyazı¹

2017

Mugla Journal of Science and Technology

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In this study, a DC / DC boost converter was designed for wind energy systems in Matlab / Simulink and output voltage control was examined under variable load conditions. The designed converter was controlled to obtain desired constant output voltage when the input voltage was variable or to obtain desired variable output voltage when the input voltage was constant. The system performance is compared using classical PI controller and Fuzzy Logic Control (FLC). Also, some system parameters are optimized with PSO to improve system performance using the weighted absolute error (ITAE) criteria as a fitness function. Thus smarter and more efficient control is provided for the proposed system. The simulation study is realized via Matlab/Simulink and the results are evaluated.

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“…Therefore, the fuzzy logic controller (FLC) is used to overcome these constraints as non-linearity. The performance of closed loop circuit (with FLC) is better than the open loop circuit, where there are no overshoot and better settling time compared to open loop [18].…”

Section: Introductionmentioning

confidence: 99%

PLC Based Implementation of Fuzzy Controller for Boost Converter

Hunaish¹,

Radhi²

2014

IJCA

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In this paper, the two-input fuzzy logic controller (FLC) and proportional -integral-derivative (PID) controller for boost converter output-voltage regulation are proposed by using Siemens Programmable Logic Controller (PLC). Here the output voltage has been used as a closed loop feedback to determine the output voltage error (e) and the change in error (∆e) as two inputs to the controller. The elements of the boost converter as inductance and capacitor have been selected to insure continues operating mode (CCM) and low output voltage ripple. The proposal is implemented by using Programmable Logic Controller (PLC) on 150 watts prototype and compare (FLC) with (PID) results. The experimental results show that the FLC has a good output voltage response compare with PID controller response. General TermsFuzzy logic controller (FLC), Programmable Logic Controller (PLC), continues operating mode (CCM) KeywordsFuzzy logic controller (FLC); proportional -integralderivative (PID) controller; Programmable Logic Controller (PLC),

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Fuzzy logic controller on DC/DC boost converter

Cited by 52 publications

References 6 publications

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

Pso Based Fuzzy Logi̇c Control Desi̇gn for a Dc/Dc Boost Converter

PLC Based Implementation of Fuzzy Controller for Boost Converter

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