Predictive functional control of PMSM based on a composite prediction model

Considering the speed-regulation problem for permanent magnet synchronous motor (PMSM) servo system, a control scheme based on the improved PFC method is designed to ensure an optimal closed loop performance even in the presence of disturbances. In common design of prediction model based control method, usually disturbances are not considered in the prediction model as well as the control design. To improve the disturbance rejection ability of system, an improved predictive functional control(PFC) method is developed in this paper by embedding disturbance information into the prediction model. Here, a composite prediction model is obtained by introducing the estimated value of disturbances, where disturbance observer (DOB) is employed to estimate the lumped disturbances. So the influence of disturbances on system are taken into account in optimization procedure. Detailed TMS320F2808 DSP experimental results are provided to verify the effectiveness of the proposed method.

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