Traditional PI controllers do not have PI on-line parameter identification function, which makes the system can not reach the best control.
传统的PI控制器不具备参数在线辨识功能，这使得系统的性能达不到最优的控制。
In order to improve the track accuracy of the system, the on-line identification parameter method is used and the parameters of controller can be corrected instantly.
为了提高系统的跟踪准确度，笔者提出在线辨识参数的改进无差拍控制策略。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
Put forward an on-line adoption parameter tracing identification method using GA aiming at the time-varying structure.
提出时变结构的GA在线自适应参数跟踪辨识方法。
This paper presents a recursive parameter identification algorithm for the system. Compared with the iterative algorithm, it can avoid the matrix inversion and can be operated on-line.
本文给出这类系统的参数递推辨识算法，克服了迭代算法不能在线运行、需反复矩阵求逆的不足。
Finally, through on-line debugging, the author realized the PMSM servo driver with functions of variable frequency speed regulation, parameter identification and parameters displaying.
最后，作者通过在线软、硬件调试，实现了具有变频调速、参数识别和参数显示等功能的永磁同步电机伺服驱动器的研制。
Finally, through on-line debugging, the author realized the PMSM servo driver with functions of variable frequency speed regulation, parameter identification and parameters displaying.
最后，作者通过在线软、硬件调试，实现了具有变频调速、参数识别和参数显示等功能的永磁同步电机伺服驱动器的研制。
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