Clonal selection algorithm based optimization of the ADRC parameters designed to control UAV longitudinal channel

Active disturbance rejection controller has distinguished performance on restricting uncertain disturbances. However, setting ADRC parameters is a time consuming task and depends strongly on operator´s experience. In this paper, we propose an approach for computing the ADRC parameters based on clonal selection algorithm (CSA). To validate this method, we build a MATLAB simulation for an UAV longitudinal channel control. Moreover, good results are obtained when we compare our approach to the one based on GA optimization. This work can be used to set parameters automatically, making the design of UAV controller more efficient.