Prediction function control method for PMSM servo system

Abstract

The invention discloses a prediction function control method for a PMSM servo system. The method comprises the following steps: firstly collecting rotor position signals theta and motor current signals iq of the PMSM servo system, observing rotor load disturbance through a Kalman filter, so as to obtain a rotor load torque T^L and a rotor rotate speed omega^, then feeding back the rotor load torque T^L and optimal control quantity i*q to a rotate speed predication unit of prediction function control (PFC), so as to obtain a prediction value (omega)m of the rotor rotate speed, inputting the rotor rotate speed omega^ and the predication value (omega)m of the rotor rotate speed into an error predication unit of predication function control, so as to obtain a rotate speed error value e of a rotor, and finally inputting e, (omega)m and omega^ into an optimal control unit of predication function control, so as to obtain optimal control quantity i*q to realize the high-precision control of the PMSM servo system under disturbance influence. The method organically combines the Kalman filter and predication function control, and the complementation of the Kalman filter and predication function control can optimize the control quantity of the servo system and improve the control precision and disturbance rejection capacity of the PMSM servo system.

Description

technical field [0001] The invention relates to a predictive function control method for a permanent magnet synchronous motor (PMSM) servo system, belonging to the technical field of high-precision servo control systems. Background technique [0002] With the improvement of the control precision of the servo system, the disturbance has become an important problem that cannot be ignored. Disturbances often come from uncertain factors neglected in the modeling process, sudden load changes and parameter changes during system operation. The existence of these factors makes the performance of the closed-loop system worse or even unstable. Therefore, in order to improve the control performance of the servo system, its controller must overcome the influence of external disturbance on the system. [0003] In the PMSM servo control system, as a multivariable, nonlinear and strongly coupled controlled object, PMSM has the characteristics of nonlinearity and uncertainty. In order to...

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Problems solved by technology

Literature (Xia Zezhong, Zhang Guangming. Predictive function control and its simulation research in servo system [J]. Chinese Journal of Electrical Engineering, 2005, 25(14): 130-134.) proposed a predictive function control method for a typical servo control system , the simulation results show that this method can improve the tracking performance in the servo system, however, in practical industrial applications, the predictive function control method cannot suppress the rotor load disturbance of the servo system, because the method does not consider the sudden change of the rotor load disturbance, when the PMSM When the servo system is faced with the rotor load disturbance, it cannot eliminate the sudden effect of the rotor load disturbance, which makes the control performance of the servo system worse

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