Abstract: In order to improve the optical axis stability of coordinator seeker imaging sensor while the system parameters was time-varying, an adaptive inverse control method based on second order Adaline network for coordinator seeker was studied. Both of dynamic model and electromechanical model were derived and analyzed by mathematical method firstly, after the study process of second order Adaline network researched, the LMS algorithm which was not easily affected by the noise and adjust the learning step size automatically was proposed, it was used to enhance the learning ability of second order Adaline network. The control system was designed for coordinator seeker adopted double closed-loop control structure, here the current loop used variable PID control method and the speed loop used adaptive inverse control method. The adaptive inverse control process was regulated with system's output error according to the improved second-order Adaline network algorithm. Infield tests show that the control method which was proposed improves the control precision of the coordinator greatly, it has stronger robust stability than PID control.