To satisfy the high performance of image-stabilization platform,a new compound adaptive inverse control method based on Elman neural network and PD was proposed for speed loop design. Through analysis of the Elman neural network model and the control object,index-trace loop and disturb-attenuation loop were designed independently. Training of the Elman neural network and identification of the object were implemented on line. Simulation results show that the method is feasible to effectively overcome the influences of the nonlinear factors,such as disturbances and the slow time-variation of parameters.