【摘要】 为对交流伺服系统的转动惯量进行在线辨识 ,调整了调节器参数以改善系统的动态性能。研究了基于模型参考自适应算法的一惯性系统及二惯性系统机械参数的辨识方法 ,并研究了自适应增益对辨识结果的影响。基于最小峰值响应方法对一惯性系统参数进行自整定 ,采用优化对称法设计了二惯性系统的速度调节器。比较了对一惯性系统和二惯性系统进行参数辨识及自整定的差异及相容性。仿真和实验证实了其有效性。该方法也可以用于永磁同步和异步电机。更多还原

【Abstract】 The dynamic performance of AC servo systems is improved by identifying the mechanical parameters to auto -tune the speed controller. Online identification methods were developed based on model reference adaptive system (MRAS) for one -mass and two -mass systems. The impact of different adaptive gains on the identification results was analyzed and automatic schemes were developed to tune the speed controller. The one -mass system was tuned using the “least M r criteria”. The two -mass system auto -tuning algorithm was based on the optimal symmetry technique. Numarical and experimental comparisons of the auto -tuning methods for the one -mass and two -mass systems verified their effectiveness. The methods can be also used in permenant magnetic synchronous motor (PMSM) and induction motor (IM) systems.更多还原