Yaw Control

Yaw control, the ability to precisely manage a vehicle's rotation around its vertical axis, is crucial for various applications, from autonomous vehicles and underwater robots to wind turbines and micro-aerial vehicles. Current research emphasizes developing robust and adaptive control algorithms, such as model predictive control (MPC), integral sliding mode control (SMC), and reinforcement learning, often coupled with advanced estimators like LSTM neural networks to handle complex dynamics and uncertainties. These improvements aim to enhance stability, accuracy, and efficiency in diverse environments, impacting fields ranging from transportation safety to renewable energy optimization.