Lyapunov-based neural network model predictive control using metaheuristic optimization approach
This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …
Lyapunov-based neural network model predictive control using a metaheuristic optimization …
A reduced vector model predictive controller for a three-level neutral point clamped inverter with common-mode voltage suppression
This paper presents a novel, state-of-the-art predictive control architecture that addresses
the computational complexity and limitations of conventional predictive control …
the computational complexity and limitations of conventional predictive control …
[HTML][HTML] Improved robust model predictive control for PMSM using backstepping control and incorporating integral action with experimental validation
The DC motor is being rapidly replaced in the industry by the permanent magnet
synchronous motor (PMSM), which has a number of benefits over it. Nonlinear equations are …
synchronous motor (PMSM), which has a number of benefits over it. Nonlinear equations are …
A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems
This research study presents the application of the FC-PCC (Fuzzy Logic Predictive Current
Control) algorithm in the context of maximum power point tracking (MPPT) for a proton …
Control) algorithm in the context of maximum power point tracking (MPPT) for a proton …
[HTML][HTML] Sensorless finite set predictive current control with MRAS estimation for optimized performance of standalone DFIG in wind energy systems
This paper introduces a sensorless control strategy combining Finite-Set Predictive Current
Control (FSPCC) and Model Reference Adaptive System (MRAS) estimation to enhance the …
Control (FSPCC) and Model Reference Adaptive System (MRAS) estimation to enhance the …
Experimental analysis of passivity‐based control theory for permanent magnet synchronous motor drive fed by grid power
Abstract Controlling the Permanent Magnet Synchronous Motor (PMSM) can be challenging
due to the nonlinearity of its dynamics, which makes it difficult to design control strategies …
due to the nonlinearity of its dynamics, which makes it difficult to design control strategies …
Grid‐Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three‐Level NPC Inverter
DR Kishore, TV Muni, BS Raja… - … on Electrical Energy …, 2023 - Wiley Online Library
In this research, a solar photovoltaic system with maximum power point tracking (MPPT) and
battery storage is integrated into a grid‐connected system using an improved three‐level …
battery storage is integrated into a grid‐connected system using an improved three‐level …
Model predictive control for energy efficient AC motor drives: An overview
State‐of‐the‐art model‐based predictive control techniques for AC motor drives are
reviewed in this paper. A plethora of MPC algorithms with vast number of complex ideas has …
reviewed in this paper. A plethora of MPC algorithms with vast number of complex ideas has …
Optimal weighting factor design based on entropy technique in finite control set model predictive torque control for electric drive applications
In the conventional finite control set model predictive torque control, the cost function
consists of different control objectives with varying units of measurements. Due to presence …
consists of different control objectives with varying units of measurements. Due to presence …
A novel allocation strategy based on the model predictive control of primary frequency regulation power for multiple distributed energy storage aggregators
As the amount of distributed energy storage (DES) in a power system continues to increase,
it will not be long before there are multiple DES aggregators participating in frequency …
it will not be long before there are multiple DES aggregators participating in frequency …