期刊文献+

基于高精度朗道离散时间法的转动惯量辨识 被引量:6

Inertia Identification Based on High precision Landau Discrete time Recursive Algorithm
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摘要 对于伺服系统,转动惯量辨识在整定调节器参数和调节系统性能上有重要意义。针对一种小惯量系统的情况,考虑实现的难度,常用的辨识方法精度不够高。采用了一种高精度的朗道离散时间递推算法来实现惯量辨识,充分提高了辨识精度。虽然增加了计算的复杂性,但是依赖DSP的强大运算能力还是可以轻松实现。仿真和实验验证都取得了良好的效果。 Inertia identification of servo system has important significance in tuning control parameter and regulating system performance. For a small-inertia system, if we take the difficulty to realize into consideration, the commonly used identification algorithm is not precise enough. A high-precision Landau discrete- time recursive algorithm was applied to realize inertia identification with a high precision. Although the algorithm make calculation complex, with the power operation ability of DSP, it is nevertheless easy to realize. The simulation and experiments show that the result is satisfactory.
出处 《电气传动》 北大核心 2013年第11期58-60,共3页 Electric Drive
基金 国家自然科学基金(61273174 61034006)
关键词 转动惯量辨识 朗道离散时间法 高精度 inertia identification Landau discrete-time recursive algorithm high precision
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  • 1周海方,王雪帆.电机转子转动惯量的测量[J].电气技术,2006,7(12):37-40. 被引量:8
  • 2丁锋,杨慧中.基于梯度的扰动时变系统辨识算法及其收敛性[J].江南大学学报(自然科学版),2005,4(3):221-226. 被引量:4
  • 3刘博伟.电机转子转动惯量获取方法研究[J].微电机,2006,39(3):97-100. 被引量:18
  • 4杨燕,曹建光,田志宏.交流电机模型参考自适应控制系统的仿真[J].电气传动,2007,37(5):13-15. 被引量:12
  • 5Gun Y, Huang L, Qiu Y,et al. Inertia Identification and Auto-tuning of Induction Motor Using MRAS[C] // Proceeding of the 3rd Power Electronics and Motion Control Conference, Aug, 2000, Shanghai, China, 2000: 1006- 1011.
  • 6Ding F, Shi Y, Chen T. Auxiliary Model Based Leastsquares Identification Methods for Hammerstein Outputerror Systems[J]. Systems & Control Letters, 2007, 56 (5): 373--380.
  • 7Ding F, Chen H B, Li M. Multi-innovation Least Squares Identification Methods Based on the Auxiliary Model for MISO Systems[J]. Applied Mathematics and Computation, 2007, 187(2) :658--668.
  • 8Landau I D. Adaptive Control[M]. New York: Springer, 1998.
  • 9OUBRAHIM B,LEONARD F.PID Auto-tuning by a composed structure[J].IEEE International Conference on Control Applications,1998,4:144-149.
  • 10ZIEGLER J G,NICHOLS N B.Optimum setting for automatic controllers[J].Transactions on ASME,1942,64:759-768.

共引文献91

同被引文献112

  • 1李云峰,徐殿国,史敬灼.基于空载启动过程的串励电机参数辨识[J].中国电机工程学报,2006,26(8):147-152. 被引量:8
  • 2徐小平,王峰,胡钢.系统辨识研究的现状[J].现代电子技术,2007,30(15):112-116. 被引量:22
  • 3肖曦,张猛,李永东.永磁同步电机永磁体状况在线监测[J].中国电机工程学报,2007,27(24):43-47. 被引量:52
  • 4郭宏,蔚永强.基于变结构PID控制的直接驱动阀伺服控制系统[J].电工技术学报,2007,22(11):58-62. 被引量:18
  • 5Toliyat H A, Levi E, Raina M. A review of RFO induction motor parameter estimation techniques[J] . IEEE Transactions on Energy Conversion, 2003, 18(2): 271-283.
  • 6Underwood S J, Husain I. Online parameter estimation and adaptive control of permanent-magnet synchronous machines[J]. IEEE Transactions on Industrial Electronics, 2010, 57(7): 2435-2443.
  • 7Xiao X, Chen C M, Zhang M. Dynamic permanent magnet flux estimation of permanent magnet synchronous machines[J] IEEE Transactions on Applied Superconductivity, 2010, 20(3): 1085-1088.
  • 8Shi Y C, Sun K, Huang L P, et al. Online identification of permanent magnet flux based on extended Kalman filter for IPMSM drive with position sensorless control [J]. IEEE Transactions on Industrial Electronics, 2012, 59(11): 4169-4178.
  • 9Du S, Zhao S H, ChenY S. Inertia identification for speed control of PMSM servo motor[C]//Proceedings of the 2011 International Conference on Electrical Machines and Systems(ICEMS). Beijing, China: IEEE, 2011: 1-6.
  • 10Andoh F. Moment of inertia identification using the time average of the product of torque reference input and motor position[J]. IEEE Transactions on Power Electronics, 2007, 22(6): 2534-2542.

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