Abstract:In some drive situations of high performance, the existence of inertia disturbance is an important factor to cause the servo system performance deterioration. An adaptive control method with anti-disturbance is proposed. Gradient algorithm is introduced to estimate system inertia on-line. And then according to the principle of pole assignment, regulate the parameters of the speed controller (proportional coefficient Kpω and integral coefficient Kiω of the speed loop) real-time by the estimated inertia adaptively. In this paper, the theoretical analysis is given in detail. Taking a surface mounted permanent magnet synchronous motor as the object, simulation and experiment of inertia identification and adaptation are carried out. The results prove that the proposed adaptive algorithm based on gradient identification is effctive.
梁骄雁, 胡育文, 鲁文其. 永磁交流伺服系统的抗扰动自适应控制[J]. 电工技术学报, 2011, 26(10): 174-180.
Liang Jiaoyan, Hu Yuwen, Lu Wenqi. Anti-Disturbance Adaptive Control of Permanent Magnet AC Servo System. Transactions of China Electrotechnical Society, 2011, 26(10): 174-180.
[1] Li Shihua, Liu Zhigang. Adaptive speed control for permanent magnet synchronous motor system with variations of load Inertia[J]. IEEE Transactions on Industrial Electronics, 2009, 56(8): 3050-3059. [2] 孙凯, 许镇琳, 盖廓. 基于自抗扰控制器的永磁同步电机位置伺服系统[J]. 中国电机工程学报, 2007, 27(15): 43-46. [3] Zhang Bin, Li Yaohua. A PMSM sliding mode control system based on model reference adaptive control[C]. Digital Object Identifier 10.1109/IPEMC, 2000, 1: 336-341. [4] 贾洪平, 贺益康. 永磁同步电机滑模变结构直接转矩控制[J]. 电工技术学报, 2006, 21(1): 1-6. [5] Guo Yujie, Huang Lipei, Muramatsu M. Research on inertia identification and auto-tuning of speed controller for AC servo system[J]. Proceedings of the Power Conversion Conference, Osaka, 2002, 2: 896-901. [6] 黄立培, 邱阳, 郭宇婕. 异步电机转动惯量在线辨识与自适应控制的研究[J]. 电工电能新技术, 2000(1): 11-16. [7] 曹先庆, 朱建光, 唐任远. 基于模糊神经网络的永磁同步电动机矢量控制系统[J]. 中国电机工程学报, 2006, 26(1): 137-141. [8] 杨书生, 钟宜生. 永磁同步电机转速伺服系统鲁棒控制器设计[J].中国电机工程学报, 2009, 29(3): 84-90. [9] De Campos M, Caratti E G, Grundling H A. Design of a position servo with induction motor using self- tuning regulator and Kalman filter[J]. IEEE Industry Applications Society Conference Record Annual Meeting 2000, 3: 1613-1618. [10] Lee K B, Yoo J Y, Song J H, et al. Improvement of low speed operation of electric machine with an inertia identification using ROELO[J]. IEE Proceedings on Electric Power Applications, 2004, 151(1): 116-120. [11] Cao Xiaoqing, Bi Meng. Extended Luenberger observer based on dynamic neural network for inertia identification in PMSM servo system[C]. Fifth International Conference on Natural Computation, 2009, 2: 48-52. [12] 徐湘元.自适应控制理论与应用[M]. 北京: 电子工业出版社, 2007. [13] 田玉平. 自动控制原理[M]. 北京: 科学出版社, 2006.