Model Reference Adaptive Identification and Position Control of First-Order System
Aiming at the uncertainty of model parameters caused by the new system or load variation,the AC servo system was studied,and the model reference adaptive identification algorithm was proposed to identify the model parameters of the first-order system.Firstly,the mathematical model of the first-order system was established,then the reference model was selected according to the Lyapunov stability theory,and the adaptive control law was designed.On the basis,the model parameters of the first-order system ware identified online.When the parameters converged,the position controller parameters were designed online according to the natural frequency and damping ratio required by the system,and the tracking control was performed.The simulation and experimental results show that the model reference adaptive identification algorithm can quickly and accurately identify the model parameters of the AC servo system.Through the controller parameters design online,the fast tracking of the reference signal is achieved.
AC servo systemmodel reference adaptive identificationstability analysisposition control
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