带有自适应参数辨识的IPMSM MTPA控制

In an interior PM synchronous motor (IPMSM) drive and control system, its optimal current-torque characteristics cannot be obtained under the condition of maximum-torque-per-ampere (MTPA), due to the operation point drifts with the electrical parameter variances. Aiming at this problem, a model reference adaptive system (MRAS) was presented based on adaptive parameter estimation method, in order to identify the q-axis inductance and PM flux linkage on-line. Initially, considering the problem of deficient-rank in the state space equation, the operation points' derivation degrees in reference to the ideal MTPA track were investigated with parameter changes. In the next place, a parameter adjustable model for an IPMSM was deduced, and then complying with the design method the Popov Hyper Stability Theorem, a full-rank identifier was proposed with the configuration of an appropriate gain matrix. Finally, the identified parameters were applied to refresh the torque-current working conditions real-timely, which improves significantly the system's MTPA control properties.