基于预设性能转台伺服系统的参数估计和自适应控制

In this paper, a parameter estimate and adaptive control method was proposed based on prescribed performance function(PPF) for the turntable servo mechanisms with unknown parameters and nonlinearity friction dynamics. A continuous friction model was employed to capture the friction dynamics of the turntable servo mechanism, and high-order neural network(HONN) was adopted to approximate the nonlinearity friction dynamics. An auxiliary filter variable was designed to drive the information of the parameter estimation, which was used as a new leakage term of parameter update law to make the estimation values achieve to true values. To improve the transient behavior and steady-state performance of the turntable servo mechanism, the PPF was adopted to translate the error system of the original system into a new error system. Simulation results validate the effectiveness of the proposed control scheme.