A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy DOI Creative Commons
Man‐Wen Tian, Li Zhu,

Mohammad Hosein Sabzalian

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

ABSTRACT Despite direct current (DC) microgrids' benefits over alternating microgrids, these systems confront several difficulties. The instability brought on by constant power loads (CPLs) is one of the main challenges. Because their rising negative impedance characteristics, CPLs reduce system performance. This study looks at a DC microgrid that has photovoltaic (PV) battery grid connected to CPL. To tackle this challenge, disturbance observer and continuous‐time model predictive control based type‐3 fuzzy logic (T3‐FLSs) are applied bidirectional DC‐DC converter. Even in face load PV generation fluctuations, method aims regulate nonlinearity CPL preserve stability across broad operating range. A new learning scheme square root cubature Kalman filter developed for online deep identified T3‐FLS model. Finally, proposed strategy compared with conventional method, which demonstrates superiority suggested terms flexibility, reduced response time, improved stability. Tests were performed using variety circumstances, including variations load, assess system's All experiments simulation results MATLAB software. Simulation show network very good performance dynamic response, precise tracking, wide voltage fluctuations about 20%. algorithm significantly impacts energy efficiency stabilizing, enhancing adaptability changing conditions, disturbances, increasing renewable integration, reducing operational costs.

Language: Английский

Full-State Observer Synthesis for a Class of One-Sided Lipschitz Nonlinear Fractional-Order Systems DOI
Mohsen Mohamed Hadji, Samir Ladaci

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL, Journal Year: 2025, Volume and Issue: 19, P. 379 - 384

Published: Jan. 8, 2025

A full-order observer design for a large class of fractional-order continuous-time nonlinear systems that satisfies the one-sided Lipschitz and quadratic inner boundedness conditions problem is addressed. By employing extension Lyapunov direct approach, sufficient condition existence proposed established in form Nonlinear Matrix Inequality (NMI), guaranteeing asymptotic convergence observation error to origin. The effectiveness distinct advantages are validated through numerical simulations on representative system.

Language: Английский

Citations

1
A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy DOI Creative Commons
Man‐Wen Tian, Li Zhu,

Mohammad Hosein Sabzalian

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

ABSTRACT Despite direct current (DC) microgrids' benefits over alternating microgrids, these systems confront several difficulties. The instability brought on by constant power loads (CPLs) is one of the main challenges. Because their rising negative impedance characteristics, CPLs reduce system performance. This study looks at a DC microgrid that has photovoltaic (PV) battery grid connected to CPL. To tackle this challenge, disturbance observer and continuous‐time model predictive control based type‐3 fuzzy logic (T3‐FLSs) are applied bidirectional DC‐DC converter. Even in face load PV generation fluctuations, method aims regulate nonlinearity CPL preserve stability across broad operating range. A new learning scheme square root cubature Kalman filter developed for online deep identified T3‐FLS model. Finally, proposed strategy compared with conventional method, which demonstrates superiority suggested terms flexibility, reduced response time, improved stability. Tests were performed using variety circumstances, including variations load, assess system's All experiments simulation results MATLAB software. Simulation show network very good performance dynamic response, precise tracking, wide voltage fluctuations about 20%. algorithm significantly impacts energy efficiency stabilizing, enhancing adaptability changing conditions, disturbances, increasing renewable integration, reducing operational costs.

Language: Английский

Citations

0