This paper presents the application and performance comparison of PSO and GA optimization techniques, for flexible ac transmission system (FACTS)-based controller design. The design objective is to enhance the
This work designs a powerful new nonlinear control technique using synergetic control (SC), proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy (MRWE) conversion systems, whereby an asynchronous generator (AG) is
Based on deterministic policy gradient theorems and neural network approximations, we propose RBSAC: a model-free rolling balance Reinforcement Learning (RL) controller based on Soft Actor-Critic (SAC) algorithm, which learns the state feedback controller from the attitude sampling of the ground mode...
Create a speed controller subsystem. The current controller subsystem that you created earlier uses the Iq_ref current output of the speed controller subsystem as an input. To create a speed controller subsystem, open the Simulink® Library Browser and select the Discrete PI Controller with anti-...
Fractional open-circuit voltage:This algorithm is based on the principle that the maximum power point voltage is always a constant fraction of the open circuit voltage. The open circuit voltage of the cells in the photovoltaic array is measured and used as in input to the controller. ...
DE-based optimal tuning algorithm is used to optimally and simultaneously tune the parameters of the PSS and SSSC-based damping controller. The proposed multiple and multi-type controller design approach has applied and evaluated for both single-machine infinite-bus and a multi-machine power system....
A Cross-Platform FOC implementation for BLDC and Stepper motors based on the Arduino IDE and PlatformIO We live in very exciting times 😃! BLDC motors are entering the hobby community more and more and many great projects have already emerged leveraging their far superior dynamics and power capa...
machine-learning reinforcement-learning deep-learning optimization deep-reinforcement-learning reinforcement-learning-algorithms optimal-control climate-change energy-efficiency thermal-comfort deterministic-policy-gradients actor-critic-algorithm off-policy hvac-control rule-based-controller Updated Sep 27, 2024 ...
Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks 2021, Computers and Chemical Engineering Show abstract Optimization of stability of humanoid robot NAO using ant colony optimization tuned MPC controller for uneven path 2021, Soft ...
reinforcement-learning electric-vehicles ddpg-algorithm charging-station openai-gym-environment charging-stations reinforcement-learning-environments intelligent-control ppo-algo rule-based-controller Updated Feb 14, 2023 Python navuboy / ddpg_biped Star 98 Code Issues Pull requests Repository for Planar...