Takagi-Sugeno fuzzy model for DC-DC converters

Cervantes, M. Heras; Montiel, M. Flores; Anzurez-Marin, J.; Anguiano, A. C. Tellez; Ramirez, M. C. Garcia

doi:10.1109/ropec.2015.7395109

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…However, comparing the response of the controller at its typical operating point with the previous works [5][6][7]24], the transient characteristics are compatible. However, if the performance at different operating points is compared with the works [11,[21][22][23][24], the PID controller cannot obtain transient characteristics compatible with the specific operating point.…”

Section: Resultsmentioning

confidence: 99%

“…The matrices A 1 and B 1 refer to the operation interval (0, D × Ts) and the matrices A 2 and B 2 refer to the operation interval (D × Ts, Ts). Adding Equations ( 15) and ( 16), one can obtain Equation (21), which can also be written as Equation (22), considering Equations ( 23) and (24).…”

Section: Mathematical Representation By State Spacementioning

confidence: 99%

“…Consequently, there is a decrease in the number of local models, defined by 2 nl , where nl is the number of non-linearities in the system [20]. Recent investigations already use generalized fuzzy TS modeling applied to DC-DC converters, aiming to control the electrical parameters at different operating points [11,[21][22][23][24]. In these works, exact fuzzy TS modelling was used to design fuzzy TS controllers analyzed by LMI and validated by the Lyapunov function.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design of a Takagi–Sugeno Fuzzy Exact Modeling of a Buck–Boost Converter

Gotz,

Bigai,

Harteman

et al. 2023

Designs

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DC–DC converters are used in many power electronics applications, such as switching power supply design, photovoltaic, power management systems, and electric and hybrid vehicles. Traditionally, DC–DC converters are linearly modeled using a typical operating point for their control design. Some recent works use nonlinear models for DC–DC converters, due to the inherent nonlinearity of the switching process. In this sense, a standout modeling technique is the Takagi–Sugeno fuzzy exact method due to its ability to represent nonlinear systems over the entire operating range. It is more faithful to system behavior modeling, and allows a nonlinear closed-loop control design. The use of nonlinear models allows the testing of controllers obtained by linear methods to operate outside their linearization point, corroborating with robust controllers for specific applications. This work aims to perform the exact fuzzy Takagi–Sugeno modeling of a buck–boost converter with non-ideal components, and to design a discrete proportional–integral–derivative (PID) controller from the pole cancellation technique, obtained linearly, to test the controller at different operating points. The PID control ensured a satisfactory result compared with the stationary value of the different operating points, but it did not reach the desired transient response. Since the proposed model closely represents the operation of the buck–boost converter by considering the components’ non-idealities, other control techniques that consider the system’s nonlinearities can be applied and optimized later.

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Section: Resultsmentioning

confidence: 99%

Section: Mathematical Representation By State Spacementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Takagi–Sugeno Fuzzy Exact Modeling of a Buck–Boost Converter

Gotz,

Bigai,

Harteman

et al. 2023

Designs

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“…Buck Converter is used to convert a higher input voltage into a lower output voltage [7]- [9]. Recently, there are several techniques that have been used to produce a stable output voltage on the DC-DC Converter such as fuzzy logic control [10]- [12], fuzzy Takagi-Sugeno [13] and PID [14].…”

Section: Introductionmentioning

confidence: 99%

An Expert System Dataset for Checking the Potential for Administering a Covid-19 Vaccine in Indonesia: Forward-Chaining Inference Machine Approach

Dionova

Jati²,

Wilyanti³

et al. 2024

J-GERS

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Nowadays, energy sources in the world at the end until now tends to be filled using fossil fuels. It is estimated that the world energy consumption until 2025 is still dominated by fossil fuels, namely oil, natural gas and coal. The Ministry of Energy and Mineral Resources said that petroleum dominates 54% of energy use in Indonesia. One way to overcome the use of fossil energy sources is to replace them with renewable energy especially photovoltaic. Therefore, this paper presents solar charge system using Buck Converter PID Controller for Spotlight load. Buck Converter with PID Controller is used to produce a smaller and more stable output voltage from solar panels of 14.4 Volts for charging the battery. The PID parameter values ??obtained after performing calculations using the Analytic Tuning method and tuning are Kp = 0.0307, ??Ki = 58.20 and Kd = 0.000263. The expected result of this research is to design and implement a solar charge controller as a producer of electrical energy from environmentally friendly energy.

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“…El convertidor reductor puede funcionar en un modo de conducción continua y discontinua, y existen varias formas de representar matemáticamente la dinámica del convertidor, entre las más destacables se pueden mencionar (Erickson y Maksimović, 2020): modelo no lineal, reducido y de pequeña señal. Otros trabajos recientes proponen modelos matemáticos basados en lógica difusa (Cervantes et al, 2015). Si el convertidor funciona en conducción continua, éste se puede representar mediante el modelo matemático de pequeña señal.…”

Section: Introductionunclassified

Diseño de un Controlador Adaptativo por Modelo de Referencia Usando la Regla del MIT Aplicado a un Convertidor DC-DC Reductor de Voltage

Sánchez

2023

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Los convertidores electrónicos de potencia se encuentran presentes en una gran cantidad de sistemas electrónicos modernos, y son utilizados en aplicaciones que exigen cada vez más una mayor eficiencia energética. Los convertidores DC-DC reductores de voltage poseen elementos capacitivos e inductivos, y un interruptor que conmuta y cambia la dinámica del convertidor, estas características resultan de gran interés desde el punto de vista del control automático. El presente trabajo tiene como objetivo desarrollar e implementar un controlador adaptativo directo por modelo de referencia (MRAC, por sus siglas en inglés) para controlar un convertidor reductor de corriente continua. El trabajo comienza con el análisis matemático de la dinámica de la planta del convertidor y luego se muestra la metodología para el diseño del controlador MRAC, los parámetros del controlador se ajustan utilizando la regla MIT. El rendimiento del controlador se evalúa mediante simulación numérica y experimentación. Los resultados muestran que el desempeño del controlador es exitoso en escenarios con cambios en: el voltaje de referencia, voltaje de alimentación y resistencia de carga.

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Takagi-Sugeno fuzzy model for DC-DC converters

Cited by 9 publications

References 11 publications

Design of a Takagi–Sugeno Fuzzy Exact Modeling of a Buck–Boost Converter

Design of a Takagi–Sugeno Fuzzy Exact Modeling of a Buck–Boost Converter

An Expert System Dataset for Checking the Potential for Administering a Covid-19 Vaccine in Indonesia: Forward-Chaining Inference Machine Approach

Diseño de un Controlador Adaptativo por Modelo de Referencia Usando la Regla del MIT Aplicado a un Convertidor DC-DC Reductor de Voltage

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