Study of Adaptive Inverse Control to Stale Platform

Stable platform is a complicated nonlinear system. The common PID control can not meet the requirement of high precision and fast response. The adaptive inverse control was introduced in the system of stable platform. Based on it , the system utilize its character of open circle to improve system capability. In the model building to object model and object inverse model, the NARX network is used. The algorithm uses the least square method instead of least square (LMS) to identify the parameters and design the control. The simulation results show several advantages of this control strategy, such as sensitive response, non-overshoot, good anti-disturbance, and minimal stable error, and showed dynamic/static performance was superior to those of conventional PID method.