Mamdani type PI-fuzzy controller in a boost converter

Murillo-Yarce, Duberney; Muñoz, Javier; Restrepo, Carlos

doi:10.1109/icit45562.2020.9067257

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…Firstly, more accuracy can be reached using a larger limitation for parametric estimation; also, a constant regulation considering the latest variations can be achieved. Equation (13) illustrates this algorithm, so-called the "forgetting factor algorithm" [29].…”

Section: Rls Estimatormentioning

confidence: 99%

“…These works presented less computational burden with stability insurance but are not tested in noisy situations and do not have sufficient strength in compensating for wide disturbances. To overcome these issues, a predictive neural network adaptive strategy is introduced in [27], which in the parameters are tuned online with the help of an estimator presenting better disturbance rejection dynamics rather than neuro fuzzy and fuzzy methods [28][29][30]. This work has examined the necessity and benefits of applying an identification method in the controller in the online way.…”

Section: Introductionmentioning

confidence: 99%

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Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Mollaee

Ghamari

Khavari

2022

IET Power Electronics

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The design of a self-tuning regulator adaptive controller is presented for Boost converter using Pulse Width Modulation, which has been improved in dynamic with a novel Robust Improved Exponential Regressive Least Square identification scheme. Regarding the negative influences of harmful disturbances on the converters, the Minimum Degree Pole Placement technique is designed using an adaptive mechanism with an online identification technique, which is simple in structure and can provide more accurate parametric estimation and better efficiency in challenging situations, particularly against noise. Based on the right half-plane zero structure of the Boost converter, the open-loop system is called a non-minimum phase system which creates some challenging constraints for the controller design. The primary objective of designing a feedback loop controller is to ensure the stability of the system and appropriate regulation within a pre-determined range of operating conditions. This controller considers the system as a black-box structure; thus, the mathematical model of the system is not needed. This benefit can decrease the computational burden, and provides faster dynamics along with ease of implementation. Finally, the strength of this control strategy is tested by experimental and simulation results in different conditions.

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Section: Rls Estimatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Mollaee

Ghamari

Khavari

2022

IET Power Electronics

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“…From a technological viewpoint, DC microgrids are of the same nature as sources like photovoltaic (PV) arrays and battery banks. Moreover, power flow control of DC microgrids becomes easier by avoiding all technical issues regarding frequency and phase [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Hierarchical Control of Isolated Microgrids

Alzate-Castaño

Mantilla

2022

TecnoL.

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The objective of this article is to propose a novel method that uses hierarchical control to efficiently manage power resources in an isolated Direct Current (DC) microgrid. The scope of this paper is limited to a numerical study of the components of the micro-generation system using accurate mathematical models in a commercial simulation tool. The control methodology is based on power sharing by means of a hierarchical topology including several control layers. In particular, the internal control loops that regulate the electrical variables in individual generators are at the bottom of the hierarchy. In addition, the power-sharing technique distributes power at an intermediate level, and it is complemented by a Newton-Raphson optimization algorithm at the top, which aims to minimize the cost function. The cost of the microgrid is defined in terms of investment and maintenance indices. This study analyzes the case of a low-power isolated DC microgrid that combines an array of photovoltaic panels and a battery bank. The most relevant result was the optimization of its generation cost, which was verified using simulations of the control and power circuits. In conclusion, although simple, the proposed technique achieves efficient performance in managing the power resources of this microgrid under environmental disturbances.

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“…However, a switch condition first have to determine and there is no significant improvement on the input variations or disturbances [3] [4]. Recently, to get superior static and dynamic performances, various control methods were developed, such as hysteresis control, slidingmode control, fuzzy control, etc [5][6][7][8][9][10]. As an attempt to obtain excellent performances, the law of energy conservation, which states that the total amount of energy in a system is constant, has been introduced into the control field.…”

Section: Introductionmentioning

confidence: 99%

Improved Energy Balance Control for Boost Converters Without Estimating Circuit Energy Losses

Wang

Tang

2020

IEEE Access

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The previously developed control methods based on the conservation of energy in circuits require the accurate estimation of energy losses, which is difficult to measure and calculate for boost converters. Consequently, there always exist steady-state errors in the output voltage if neglecting such circuit energy losses. To address this issue, an improved energy balance control (IEBC) method is proposed in this paper by integrating a simplified energy balance controller (SEBC) with a PI controller. The proposed IEBC can reduce the steady-state output voltage errors without requiring the estimation of circuit energy losses. Furthermore, the proposed IEBC can operate in both the continuous current mode (CCM) and the discontinuous current mode (DCM), thus accurate static and fast dynamic performances are achieved over the entire load operation range. Moreover, the stability of the IEBC is proved using the Lyapunov stability criterion. Compared with that of the SEBC, both simulations and experiments validate the feasibility and robustness of the proposed IEBC method.

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Mamdani type PI-fuzzy controller in a boost converter

Cited by 9 publications

References 16 publications

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Optimal Hierarchical Control of Isolated Microgrids

Improved Energy Balance Control for Boost Converters Without Estimating Circuit Energy Losses

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