In order to improve the stable tracking control of airborne Opto-electronic platform, a model predictive control algorithm based on linear quadratic enhanced Kalman filter is proposed. A dynamic model of airborne Opto-electronic platform is established. Base on the state Kalman filter, a linear quadratic regulator gain is introduced to reduce the phase delay of the estimated state, which makes the state estimation more accurate. The maximum error between the simulation results of tracking target and the state estimation results of Kalman filter is reduced by 58.14%, and the maximum error between the extended Kalman filter and the state estimation is reduced by 52.62%. The simulation results show that the algorithm can effectively improve the tracking and control performance of the airborne optoelectronic platform, and realize the stable tracking and control of the airborne optoelectronic platform.