Inertia Identification And Its Application For AC Servo System

Permanent magnet synchronous motor(PMSM)are now widely employed in high performance servo system due to its simple structure,high power density and stable operation etc.But the control performance of the PMSM AC servo system is directly affected by the variation of the moment of inertia.If the inertia can be real-time identified and the speed loop control parameters of AC servo system can be tuned according to the inertia identification result.It has important significance to improve the control performance of AC servo system.Research on mathematical model and control strategy of PMSM,a dual core controller for AC servo system is designed based on the rotor flux oriented vector control strategy and the IGBT power inverter module.The controller is designed by DSP and FPGA.The data interaction between controller and PC is based on the USB module.In the design of the hardware platform,the software designed for the AC servo control system is completed.The method of inertia identification is the key of theoretical research.The variable gain model reference adaptive identification algorithm is designed to solve the disadvantages of model reference adaptive algorithm.The inertia identification simulation model of AC servo system is established using Matlab/Simulink.The simulation results indicate that the variable gain model reference adaptive identification has high identification precise and fast convergence speed.On the basis of simulation research,the experiment is carried out on the hardware platform,the inertia is real-timely identified by PC and the speed loop control parameters self-tuning based on the identification result.The PC calculate the optimal control parameters and reload the optimal control parameter to the controller through USB model.The dynamic response and control precision of the AC servo system are improved.