#fuzzycontrol
MATLAB Simulation of UPQC Using Ant Colony Optimized Fuzzy Control for Power Quality Mitigation

zurl.co/0d2Wl

• UPQC model with shunt & series active filters via common DC link
• ACO-tuned Fuzzy PID for optimal DC link & voltage regulation

#UPQC #FuzzyControl
February 23, 2026 at 2:31 PM
Fuzzy Energy Management in Grid-Connected PV Battery System | MATLAB/Simulink Model

zurl.co/2g8DB

• Grid-connected PV battery system with fuzzy energy management
• MPPT-based boost converter for maximum PV power extraction

#FuzzyControl #EnergyManagement
March 27, 2026 at 4:30 AM
ACO-Optimized Fuzzy Control Strategy for UPQC

Link: zurl.co/XM9j6

🔁 Fuzzy logic–based control applied to the Unified Power Quality Conditioner

🐜 Ant Colony Optimization used for optimal tuning of fuzzy memberships

#UPQC #PowerQuality #AntColony #FuzzyControl
January 27, 2026 at 8:31 PM
🔋⚡ Fuzzy-Controlled V2G/G2V for Single-Phase Grid
zurl.co/wgQAv

🔹 Supports bidirectional energy flow between EV and grid
🔹 Fuzzy ensures stable grid voltage and current during charging & discharging

#G2V #ElectricVehicle #SmartGrid #MATLAB #V2G #FuzzyControl
December 3, 2025 at 2:30 AM
MATLAB Implementation of Fuzzy Based MPPT for Solar PV System | LMS Solution
This Work presents fuzzy-based maximum power point tracking in solar panel. The solar system is modelled and analysed in MATLAB/SIMULINK. The photovoltaic panel has an optimal operating voltage where the PV panel can produce maximum power at this particular point. Due to the nonlinearity of the voltage-current characteristic in solar panel, it is difficult to determine analytically the maximum power operating voltage that varies with the change of solar irradiance and cell temperature. Maximum power point tracking (MPPT) is implemented to identify the maximum power operating point, subsequently, regulate the solar panel to operate at that particular operating voltage for maximum power gaining. Fuzzy based optimized MPPT is developed and the performance of the controller are examined at variable solar irradiances at different temperatures. Simulation results show that fuzzy based MPPT has better performance where it can facilitate the solar panel to produce a more stable power.
zurl.co
July 11, 2025 at 2:30 AM
MATLAB Simulation of Fuzzy Logic MPPT for Solar PV System
MATLAB Model: zurl.co/XFHOO
#matlabsimulation #fuzzymppt #solarpvsystem #fuzzylogic #mppt #fuzzycontrol #fuzzylogiccontrol #fuzzympptcontrol
MATLAB Implementation of Fuzzy Based MPPT for Solar PV System | LMS Solution
This Work presents fuzzy-based maximum power point tracking in solar panel. The solar system is modelled and analysed in MATLAB/SIMULINK. The photovoltaic panel has an optimal operating voltage where the PV panel can produce maximum power at this particular point. Due to the nonlinearity of the voltage-current characteristic in solar panel, it is difficult to determine analytically the maximum power operating voltage that varies with the change of solar irradiance and cell temperature. Maximum power point tracking (MPPT) is implemented to identify the maximum power operating point, subsequently, regulate the solar panel to operate at that particular operating voltage for maximum power gaining. Fuzzy based optimized MPPT is developed and the performance of the controller are examined at variable solar irradiances at different temperatures. Simulation results show that fuzzy based MPPT has better performance where it can facilitate the solar panel to produce a more stable power.
www.lmssolution.net.in
July 3, 2025 at 2:30 AM
June 27, 2025 at 2:30 AM