Improved prediction function control of PMSM based on composite adaptive locationless observer
Aiming at the problem of poor performance of tradi-tional predictive function control (PFC) in speed control due to external disturbances,parameter mismatches,and meas-urement and control quantization errors caused by position sensors in the servo control system of permanent magnet syn-chronous motor (PMSM),an optimized predictive function control method was used by using a composite adaptive posi-tion observer. The composite adaptive observer was construc-ted by combining model reference adaptive control (MRAC) with extended state observer (ESO) to improve the location-less observer observation accuracy and disturbance resistance,accurately detected rotor information,and used it as feedfor-ward compensation for the predictive function controller,which achieved fast and high-performance control of the over-all servo system. The experimental results show that the im-proved predictive function control has feasibility and superiori-ty in response speed and disturbance suppression under sud-den changes in load and speed.
permanent magnet synchronous motor(PMSM)predictive function controlmodel reference adaptiveextended state observer (ESO)