Quantum parallel multi-layer Monte Carlo optimization algorithm for controller parameters optimization of doubly-fed induction generator-based wind turbines
K Han, T Huang, L Yin - Applied Soft Computing, 2021 - Elsevier
With larger searching space, intelligent algorithms could have insufficient global search
capability and accuracy for optimization problems. This paper proposes a novel quantum …
capability and accuracy for optimization problems. This paper proposes a novel quantum …
Parallel Multi-Layer Monte Carlo Optimization Algorithm for Doubly Fed Induction Generator Controller Parameters Optimization
X Tao, N Mo, J Qin, X Yang, L Yin, L Hu - Energies, 2023 - mdpi.com
This work proposes a parallel multi-layer Monte Carlo optimization algorithm (PMMCOA)
that optimizes proportional–integral parameters for a doubly fed induction generator-based …
that optimizes proportional–integral parameters for a doubly fed induction generator-based …
[PDF][PDF] Tuning PID Controller Bases on Random Search Algorithms
In this paper, we present two well known random search algorithms which are Genetic
algorithm (GA) and Particle Swarm optimization (PSO) to find optimal parameters for PID …
algorithm (GA) and Particle Swarm optimization (PSO) to find optimal parameters for PID …