| In the last several decades, the Permanent magnet synchronous motor(PMSM) is implied on many kinds of drive systems, compared with other motors, the PMSM has many individual features. At the dissertation, The control strategies and the practicality system are studied with PMSM servo systems.At first, the mathematical model of PMSM is presented. The way of SVPWM is discussed which is key on servo systems.PMSM is a nonlinear system with significant coupling. This paper applies the direct feedback linearization (DFL) theory. The appropriate coordinate transformation and nonlinear state feedback are obtained through Lie deriving the output variable, with which the PMSM system is input-output linearized. Furthermore, which realizes the completely dynamic decoupling, the method proposed in this paper has better speed tracking performances. The observer of disturbance torque is applied, and reduce the effect of torque disturbance to speed. In the end, the way with grey prediction reduce the effect which the lumped uncertainty and parameter are variety.The study bring forward backstepping control based on nonlinear control strategy which is applied to the position tracking controller design of PMSM servo system. The way has little designed parameter and it can easy realize. The design rule of backstepping makes the system global asymptotical stabilization with Lyapunov function. Finally, adaptive Backstepping control is applied to the position tracking control of PMSM with uncertain parameters.In order to decrease the cost and improve the reliability of system. PMSM speed is acquired through reduced-order Luenberger observer constructed through stator q-axis current and speed equations. The observer is simple and can achieve fast convergence through eigenvalues placement.Combined with Zhejiang province important science and technology reseach item"the intelligent control system of sewing based on DSP".it combined with practice system, and the item has finely effect.
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