Brain Emotional Learning Based Intelligent Controller for Nonlinear System

A novel intelligent control strategy based on brain emotional learning (BEL) model is investigated in the application of the attitude control of the unmanned aerial vehicle (UAV) in the paper. The UAV is in the flat flight under the disturbance of the wind. The BEL based intelligent controller (BELBIC), which is based on emotional learning process in amygdala-orbitofrontal (A-O) system of the mammalians brain, is proposed to develop the stability control performance of the UAV attitude loop. A control scheme of the UAV with nonlinear dynamic properties based on BELBIC is built up. The simulation results illustrate that the BELBIC has characteristics of good adaptability, strong robustness, and small computational cost, so that the BELBIC will be attractive in the control applications of real-time nonlinear systems.