Control of a Twin Rotor using Twin Delayed Deep Deterministic Policy Gradient
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Control of a Twin Rotor using Twin Delayed Deep Deterministic Policy Gradient (TD3)
arXiv:2512.13356v2 Announce Type: replace Abstract: This paper proposes a reinforcement learning (RL) framework for controlling and stabilizing the Twin Rotor Aerodynamic System (TRAS) at specific pitch and azimuth angles and tracking a given trajectory. The complex dynamics and non-linear characteristics of the TRAS make it challenging to control using traditional control algorithms. However, recent developments in RL have attracted interest due to their potential applications in the...