The Buck-Boost converter adopting passivity-based adaptive control strategy and its application

Wang, Bingyuan; Feng, Huang

doi:10.1109/ipemc.2012.6259124

Cited by 8 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For fuzzy control, the affiliation function is the most important. A good affiliation function rule can determine the current state of the model more accurately based on the model error so that the model control parameters can be modulated more quickly to achieve accurate and robust control results [9] . For fuzzy controllers, different shapes of affiliation functions represent different control rules, and the selection of fuzzy rules that fit the model is of paramount importance.…”

Section: Fuzzy Control Affiliation Function and Its Rulesmentioning

confidence: 99%

See 1 more Smart Citation

Study of fuzzy PI controller in improving transient response performance of DC-DC converters

Qi,

Zhang,

Wang

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

To overcome the issues with classic linear PI control, such as the difficulties of modeling complicated control objects and the lack of experience in manual adjustment, a fuzzy PI control method for a double-closed-loop Buck converter system is developed. First, the current inner PI loop and voltage Fuzzy-PI outer loop structures are intended to operate simultaneously to enhance the system's immune performance; In order to increase the system's dynamic responsiveness, the subordinate triangle function is selected as the input and output subordinate functions. Following this, two subdatabases for PI parameters were established, and fuzzy rules for Buck converters were developed through a rule base based on expert experience, allowing the controller to be independent of the precise mathematical model of the Buck converter system and overcoming traditional PI control's drawbacks of high overshoot and output voltage oscillation; The reliability of the aforementioned proposition was lastly confirmed by a number of simulations and experiment.

show abstract

Section: Fuzzy Control Affiliation Function and Its Rulesmentioning

confidence: 99%

“…The specific rules and parameter division are shown in Figure 5-Figure 7. In this paper, the center of gravity method is used to defuzzify and implement online self-tuning of parameters [9] .…”

Section: Fuzzy Control Affiliation Function and Its Rulesmentioning

confidence: 99%

Study of fuzzy PI controller in improving transient response performance of DC-DC converters

Qi,

Zhang,

Wang

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

View full text Add to dashboard Cite

show abstract

“…Magnetic hysteresis and magnetic saturation are nonlinear phenomena that have remarkable effects on the operation of power inductors [11,12]. Several models have been developed to represent the magnetic saturation in power inductors, for example, polynomial models [13], neural models [10], models based on power behavior [14], and models based on trigonometric functions [12]. Each model has its particularities, and its use depends of the application [14].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control of a DC-DC Buck–Boost Converter with Non-Linear Power Inductor Operating in Saturation Region Considering Electrical Losses

Molina-Santana,

Gonzalez-Montañez,

Liceaga-Castro

et al. 2023

Mathematics

View full text Add to dashboard Cite

The present work proposes a nonlinear model of a buck–boost DC-DC power converter considering the nonlinear magnetic characteristics of the power inductor and electrical losses of the system. The Euler–Lagrange formalism is used for formulating the proposed model. Previous research works have reported mathematical models to describe power inductor dynamics. However, a gap in the literature remains regarding modeling this kind of element when it operates within power converters. Also, a linear-based controller scheme is proposed to regulate a non-ideal buck–boost DC-DC power converter. A methodology for tuning the proposed controller is presented, which considers the nonlinear model structure of the power converter, the linearization procedure based on an identification process, and a frequency domain analysis based on the approximated linear model. Finally, the tuned control scheme is tested on the nonlinear model of the power converter under several operational conditions showing excellent performance by effectively regulating the output voltage. The results are compared with those derived from alternative control strategies, and a better performance is generally obtained.

show abstract

“…The implementation of the passivity-based control method is relatively straightforward and does not require complex controller architectures and algorithms. Furthermore, this method can be applied to a range of dynamic systems, including mechanical [11], electrical [12], and chemical systems. There are currently multiple nonlinear control methods applied to LLC resonant converters.…”

Section: Introductionmentioning

confidence: 99%

Passivity-based control strategy for resonant converter based on Euler–Lagrange model

Zhang,

Liang,

Wang

et al. 2023

Archives of Electrical Engineering

View full text Add to dashboard Cite

The LLC resonant converter is a widely used DC/DC converter that offers the benefit of enabling soft switching compared to classical DC/DC converters. However, traditional PI control strategy based on a linear model has drawbacks such as slow dynamic response and poor anti-interference performance. To overcome the shortage, a passivitybased control strategy based on the Euler–Lagrange (EL) model is proposed in this paper to improve the dynamic performance of the half-bridge LLC resonant converter. In addition, the stability of the system based on the proposed strategy is analyzed and verified. Further, the effectiveness and performance of the proposed strategy is verified in the simulation by comparing with the traditional PI controller. Finally, a prototype was built to verify the dynamic performance of the LLC resonant converter based on the proposed control strategy.

show abstract

The Buck-Boost converter adopting passivity-based adaptive control strategy and its application

Cited by 8 publications

References 5 publications

Study of fuzzy PI controller in improving transient response performance of DC-DC converters

Study of fuzzy PI controller in improving transient response performance of DC-DC converters

Modeling and Control of a DC-DC Buck–Boost Converter with Non-Linear Power Inductor Operating in Saturation Region Considering Electrical Losses

Passivity-based control strategy for resonant converter based on Euler–Lagrange model

Contact Info

Product

Resources

About