The traditional adaptive control has many problems

such as many adjusting parameters

relying on accurate mathematical model

slow convergence speed and easy to be affected by unknown interference. Therefore

it is very necessary to improve the adaptive control by combining more control methods. Taking the servo system as the object

this paper analyzes the basic principle of the compound adaptive control algorithm after the combination of adaptive control and neural network

sliding mode control

fuzzy control and other control methods

as well as the application of various algorithms in the servo system. Finally

the main shortcomings of composite adaptive control of servo system at this stage and the direction of improvement and development in the future are summarized.