A comparative study of gust load alleviation of UAV based on LPV and MPC controller

Recent years, active control techniques have received continuous attention in the field of gust load alleviation(GLA). In the previous studies, many methods, including the Model Predictive Control (MPC) algorithm, have been employed in GLA and successfully reduced the aircraft’s gust response to some extent. However, research of MPC application on GLA systems is relatively limited, mainly because of the large model orders introduced by structural flexibility and the lack of research on the relevant stability aspect. Considering the specific performance, flexibility of control method, and the deflection constraints of actuators, Linear parameter-varying(LPV) and MPC methods are applied to GLA respectively in this paper. The simulation results show that both methods can effectively reduce the overload. Compared with MPC at a stationary velocity in this paper, LPV method has better performance and has smaller output power on the actuators.

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