... problems are inevitable. In this paper, we propose adaptive control techniques, which trying to extract the stochastic property of wind speed using a trained reinforcement learning (RL) agent and then apply their obtained optimal policy to the wind turbine adaptive control design. This paper includes the results of tests of the developed torque controller and a multi-input-multi-output (MIMO)-based controller using advanced RL algorithms. © 2019 IEEE. нет
Теги: control , mimo control , pitch control , reinforcement learning , torque control , wind turbine , adaptive control systems , control engineering , electric machinery , machine learning , mimo systems , stochastic systems , wind , wind turbines , adaptive control des
