Fuzzy control of cooling water pumps related to a power plant

Popescu, Daniela; Dinu, R C; Bratu, Cristian

doi:10.1109/sielmen.2017.8123382

Cited by 4 publications

(3 citation statements)

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“…Using simulation and case studies, a fuzzy logic-based management and control system for a hybrid power system is devised and confirmed in this work [7,8].…”

Section: Proceedings Of First International Conference On Smart Syste...mentioning

confidence: 79%

Fuzzy Logic Controlled Hierarchical Power Management Scheme for A Solid-State Transformer (SST) Interfaced D.C Micro Grid

Satheesh,

Reddy

2023

First International Conference on Smart Systems and Green Energy Technologies

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The system integration of an advanced, integrated solid-state transformer (SST) micro-grid system is examined and, for the first time, used in this project. A power management strategy is required for this system in order to allow operating in islanding mode operation, SST-enabled operations, as well as the smooth switching between two modes. The recommended power management technique includes three levels of control: First control is for the local controller, second control for recovering the bus voltage of the dc micro grid, and third control for controlling battery state of charge.

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“…Using simulation and case studies, a fuzzy logic-based management and control system for a hybrid power system is devised and confirmed in this work [7,8].…”

Section: Proceedings Of First International Conference On Smart Syste...mentioning

confidence: 79%

Fuzzy Logic Controlled Hierarchical Power Management Scheme for A Solid-State Transformer (SST) Interfaced D.C Micro Grid

Satheesh,

Reddy

2023

First International Conference on Smart Systems and Green Energy Technologies

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“…In each case, the designed fuzzy logic unit was used to determine the control signal for a servo-valve according to the diagram shown in Figure 4. In turn, El-Koliel et al [5] developed a speed controller of an electrical submersible pump using a rule-based fuzzy logic controller with a space vector pulse width modulator, while Popescu [6] proposed a fuzzy logic unit for controlling frequency of a cooling water system consisting centrifugal pumps. The design of hydraulic turbine control systems is also a challenging research problem due to numerous non-linearities.…”

Section: Hydraulic Pump and Turbine Control Systemsmentioning

confidence: 99%

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Filo

2023

Energies

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Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics. This article summarizes the recent achievements in hydraulic and pneumatic fuzzy logic system design. First, the main application areas have been identified, including control and fault diagnosis. The control systems were additionally grouped according to the main objects of study, such as pumps, actuators, proportional valves, etc. Then, the results of the recent research were presented, and the main features of the designed fuzzy logic units were summarized for each group. Particular attention was paid to types of membership functions used for fuzzification and defuzzification, numbers of fuzzy sets defined for input and output signals, types of fuzzy operators, the applied inference algorithm and the defuzzification method. Based on the analysis of the listed parameters, conclusions were formulated regarding advantages, main issues and difficulties, as well as recommended directions for further development.

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“…Many existing methods have been applied to solve the negative effects of temperature. For example, fuzzy logic control (FLC) was utilized in the adjustment of rpm for a water pump [4]. Another method is ANN as applied for a model of MPPT controller [5].…”

Section: Introductionmentioning

confidence: 99%

Neuro-Fuzzy based MPPT for Solar PV Panel

Pagatpatan¹

2020

IJETER

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Various atmospheric elements like irradiance and temperature, affect the power production and nonlinearity of I-V qualities of solar photovoltaic system. A solution is developed to mitigate the said negative effect, which is the application of maximum power point tracking (MPPT) for charge controllers. MPPT is integrated in buck-boost circuit to instantaneously boost the produced energy of the panel towards the battery by regulating its current or voltage of the panel using pulse width modulated signal (PWM). The proposed algorithm utilized is Adaptive Neuro-Fuzzy Inference System (ANFIS) and inputs are collected with voltage, current, lux and temperature sensors. The neural network trained the data first while the fuzzy logic generated the rules to guide the system to generate the appropriate value of duty cycle as the output. The fuzzy inference system (FIS) training phase showed that the trimf produced the least inaccuracy of 0.0015666%. meanwhile the testing phase showed an average testing error of 0.086933%.

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Fuzzy control of cooling water pumps related to a power plant

Cited by 4 publications

References 0 publications

Fuzzy Logic Controlled Hierarchical Power Management Scheme for A Solid-State Transformer (SST) Interfaced D.C Micro Grid

Fuzzy Logic Controlled Hierarchical Power Management Scheme for A Solid-State Transformer (SST) Interfaced D.C Micro Grid

A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems

Neuro-Fuzzy based MPPT for Solar PV Panel

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