The permanent magnet (PM) brushless DC motor (BDCM) has been widely used in industrial applications because of its low inertia, fast response, high power density, high reliability and no maintenance requirements. It exhibits the operating characteristics of a conventional commutated permanent magnet DC motor but eliminates the mechanical commutators and brushes. Consequently, many problems associated with brushes and commutators are eliminated. A steady state reference current (SSRC) determination technique based on a neural network is proposed for the PM BDCM drive system. A conventional controller combined with this technique can improve system response speed, and reduce overshoot and oscillation. The design of the conventional controller is introduced. The SSRC determination technique is described in detail. Hardware implementation and experimental results are proposed. The drive system is tested under PI and fuzzy control.
References
-
-
1)
-
H.X. Li ,
C.C.L. Philip ,
H.P. Huang
.
(2001)
Fuzzy neural intelligent systems mathematical foundation and the applications in engineering.
-
2)
-
T.J.E. Miller
.
(1989)
Brushless permanent-magnet and reluctance motor drives.
-
3)
-
Y.S. Lai ,
J.C. Lin
.
New hybrid fuzzy controller for direct torque control induction motor drives.
IEEE Trans. Power Electron.
,
5 ,
1211 -
1219
-
4)
-
A. Rubaai ,
D. Ricketts ,
M.D. Kankam
.
Development and implementation of an adaptive fuzzy-neural-network controller for brushless drives.
IEEE Trans. Ind. Appl.
,
2 ,
441 -
447
-
5)
-
Z.Y. Pan ,
F.L. Luo
.
Novel soft-switching inverter for brushless DC motor variable speed drive system.
IEEE Ttrans. Power Electron.
,
2 ,
280 -
288
-
6)
-
G.F. Franklin ,
J.D. Powell ,
M. Workman
.
(1997)
Digital control of dynamic systems.
-
7)
-
I. Boldea ,
S.A. Nasar
.
(1999)
Electric drives.
-
8)
-
J.H. Song ,
I. Choy
.
Commutation torque ripple reduction in brushless DC motor drives using a single DC current sensor.
IEEE Ttrans. Power Electron.
,
2 ,
312 -
319
-
9)
-
F.J. Lin ,
C.H. Lin ,
P.H. Shen
.
Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive.
IEEE Trans. Fuzzy Syst.
,
5 ,
751 -
759
-
10)
-
F.J. Lin ,
W.J. Hwang ,
R.J. Wai
.
A supervisory fuzzy neural network control system for tracking periodic inputs.
IEEE Trans. Fuzzy Syst.
,
1 ,
41 -
52
-
11)
-
U.C. Moon ,
K.Y. Lee
.
Hybrid algorithm with fuzzy system and conventional PI control for the temperature control of TV glass furnace.
IEEE Trans. Control Syst. Technol.
,
4 ,
548 -
554
-
12)
-
P. Pillay ,
R. Krishnan
.
Modeling of permanent magnet motor drives.
IEEE Trans. Ind. Electron.
,
4 ,
537 -
541
-
13)
-
C.T. Lin ,
C.S. George Lee
.
(1996)
Neural fuzzy systems.
-
14)
-
K.S. Narendra ,
K. Parthasarathy
.
Gradient-methods for the optimization of dynamical systems containing neural networks.
IEEE Trans. Neural Netw.
,
2 ,
252 -
262
-
15)
-
T.L. Cornelius
.
(2003)
Intelligent systems, Volume II.
-
16)
-
C. Vladimir ,
F. Mulier
.
(1998)
Learning from data: concepts, theory, and methods.
-
17)
-
A. Zilouchian ,
M. Jamshidi
.
(2001)
Intelligent control systems using soft computing methodologies.
-
18)
-
Z.Y. Pan ,
F.L. Luo
.
Novel resonant pole inverter for brushless DC motor drive system.
IEEE Ttrans. Power Electron.
,
1 ,
173 -
181
-
19)
-
A. Rubaai ,
R. Kotaru ,
M.D. Kankam
.
A continually online-trained neural network controller for brushless DC motor drives.
IEEE Trans. Ind. Appl.
,
2 ,
475 -
483
-
20)
-
R.A. Jacobs
.
Increased rates of convergence through learning rate adaptation.
Neural Netw.
,
4 ,
295 -
307
-
21)
-
A. Rubaai ,
D. Ricketts ,
M.D. Kankam
.
Experimental verification of a hybrid fuzzy control strategy for a high-performance brushless DC drive system.
IEEE Trans. Ind. Appl.
,
2 ,
503 -
512
-
22)
-
Z.Y. Pan ,
F.L. Luo
.
Transformer based resonant DC link inverter for brushless DC motor drive system.
IEEE Trans. Power Electron.
,
4 ,
939 -
947
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-epa_20050128
Related content
content/journals/10.1049/ip-epa_20050128
pub_keyword,iet_inspecKeyword,pub_concept
6
6