Ultra-local Model-free Current Predictive Control of Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Compensation
During motor operation,the motor parameters change to cause parameter drift,and the motor is affected by the internal and external unknown disturbances,which leads to reduced motor control performance,poor anti-interference performance,and low robustness. To solve these problems,an ultra-local model-free current predictive control ( MFCPC ) method of permanent magnet synchronous motor ( PMSM) based on nonlinear disturbance compensation ( NDC) is proposed. The proposed method only uses the input and output current loop to establish MFCPC without involving any motor parameters,thus solving the problem of model mismatch caused by parameter changes. For the total disturbance of the system,a NDC model is established,which can estimate the total disturbance accurately and stably,make a feedforward compensation,update the control information in real time,and adjust only two control parameters. To prevent the generation of large current,a current-limiting control is established to improve motor control performance. Simulated and experimental results show that the proposed control method has strong robustness and anti-interference ability against parameter change and external disturbance. It can realize the fast dynamic response,reduce the current ripple and current static difference,and achieve the better dynamic and static performances of current loop. Moreover,it can suppress the speed pulsation and overshoot,and track the rated speed stably,which is conducive to the smooth operation of the motor.
permanent magnet synchronous motorultra-localmodel-free current predictive controlcurrent limitingnonlinear disturbance compensation
万方数据
维普
