Model for stable platform system is not accurate or parameters change

or unknown external disturbances

and the active disturbance rejection controller（ ADRC） parameters are numerous and difficult to sort out. In view of the above problems

a control algorithm for gravity stabilized platform based on quasi-diagonal recurrent neural network（ QDRNN）-ADRC is proposed. The estimation and compensation of ADRC for the system of disturbance

and using the identification function of the neural network

the ADRC parameters are on-line tuned;based on ADRC technology core architecture

design QDRNN-ADRC controller

and Simulink simulation. The simulation results show that this method can effectively solve the gravity stable platform online tune outside interference and adaptive parameter tuning problem

compared with the traditional control method

it has certain advantages in quickness and stable precision

anti-jamming.