Browse > Article
http://dx.doi.org/10.5302/J.ICROS.2007.13.3.192

Hybrid PI Controller of IPMSM Drive using FAM Controller  

Ko, Jae-Sub (순천대학교 대학원 전기공학과)
Choi, Jung-Sik (순천대학교 대학원 전기공학과)
Chung, Dong-Hwa (순천대학교 전기제어공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.13, no.3, 2007 , pp. 192-197 More about this Journal
Abstract
This paper presents Hybrid PI controller of IPMSM drive using fuzzy adaptive mechanism(FAM) control. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness, fixed gain PI controller, Hybrid PI controller proposes a new method based self tuning PI controller. Hybrid PI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.
Keywords
IPMSM drive; fuzzy control; Hybrid PI controller; fuzzy self tuning PI controller;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. C. Lee and D. H. Chung, 'MRAC fuzzy control for high performance of induction motor drive,' The Trans. of KIPE, vol. 7, no. 3, pp. 215-223, 2002
2 H. G. Lee, J. C. Lee, and D. H. Chung, 'Design of fuzzy controller induction drive considering parameter change,' The Trans. of KIEE, vol. 51P, no. 3, pp. 111-119, 2002
3 H. G. Lee, J. C. Lee, and D. H. Chung, 'New fuzzy controller for high performance of induction motor drive,' The journal of KIIS, vol. 17, no. 4, pp. 87-93, 2002
4 H. G. Lee, J. C. Lee, and D. H. Chung, 'Adaptive FNN controller for speed control of IPMSM drive,' The Trans. of KIEE, vol. 41-SC, no. 3, pp. 39-46, 2004
5 J. C. Lee, H. G. Lee, Y. S. Lee, S. M. Nam, and D. H. Chung, 'Speed estimation and control of induction motor drive using hybrid intelligent control,' International Conference ICPE'04, no. 3, pp. 181-185, 2004
6 J. C. Lee, H. G. Lee, S. M. Nam, and D. H. Chung, 'Speed control of induction motor drive using adaptive FNN controller,' International Conference ICEMS'04, Conference no. PI-5(430-M09-052), 2004. [CD no. 2]
7 K. J. Astron and B. Wittenmark, 'Adaptive control,' Addison-Wesley, 1989
8 G. J. Wang, C. T. Fong, and K. J. Chang, 'Neural network based self tuning PI controller for precise motion control of PMAC motors,' IEEE Trans. on IE, vol. 48, no. 2, pp. 408-416, 2001
9 G. R Siemon, Electric Machines and Drives, Reading, MA: Addison-Wesley, 1992
10 T. J. E. Miller, Brushless Permanent Magnet and Reluctance Motor Drives, Oxford, U. K.: Clarendon, 1989
11 M. Santos and J. M. de la Cruz, 'Between fuzzy Pill and Pill conventional controllers,' NAFIPS'96, Berkley, USA, June 1996
12 M. Ali Unar, D. J. Murray-Smith, and S. F. Ali Shah, 'Design and tuning of fixed structure PID controller-A survey,' Technical Report CSC-96016, Faculty of Engineering, Glasgow University, Scotland, 1996
13 Z. Ibrahim and E. Levi, 'Comparative analysis of fuzzy logic and PI speed control in high performance AC drives using experimental approach,' Proc. of IEEE IAS'2000, Rome, Italy, CD-ROM paper 46-3, 2000
14 C. M. Ong, Dynamic Simulation of Elecctric Machinery Using Matlab/simulink, Upper Saddle River, NJ: Prentice-Hall, 1998
15 M. A. Rahman and M. A, Hoque, 'On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors,' IEEE Trans. EC, vol. 13, pp. 311-318, 1998