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Seng-Chi
Chen received his B. S. degree in
Mechanical Engineering from National Taiwan University of Science and
Technology in 1982, and both M. S. and Ph. D degrees in Mechanical Engineering
from National Central University in Taiwan in 1990 and 2000, respectively.
From October 1984 to July 2004, he served at Chung- Shan Institute of Science
and Technology (CSIST), Department of Defense, Taiwan, as a research and
development specialist working on the design of high performance servo
actuators, including brushless DC motors, torque motors and linear motors.
Dr. Chen was a Head of the Laboratory for Energy Conversion and Electric
Machine Control in the Electrical Engineering Department of Da-Yeh University
in Taiwan since 2004 to 2014. From August 2014, he teaches in the Department
of Electrical Engineering at Southern Taiwan University of Science and Technology(STUST).
He promoted to Professor of Department of Electrical Engineering in 2018. His
main research interests include precision machine design and manufacture, linear
motor, electric vehicle motor, wind power generator, magnetic levitation,
motor drive and servo control systems.
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Teaching Courses
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Electrical machine design,
Electric motor control, Advanced Engineering Mathematics,
Physics
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Published Journal Paper
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1.
Seng-Chi Chen*, and Chun-Yi Kuo, ARNISMC for MLS with Global Positioning Tracking Control, IET Electric Power
Applications, 2018. SCI , (ISSN:
1751-8660 ), IF: 1.865.
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2.
Seng-Chi Chen*, and Chun-Yi Kuo, Design and Implementation of Double Integral
Sliding-Mode Controller for Brushless Direct Current Motor Speed Control, Advances in Mechanical
Engineering, 2017. SCI, (ISSN: 1687-8140 ), IF: 0.827.
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3.
Ming-Shyan Wang, Seng-Chi Chen, Wei-Chin Fang, Po-Hsiang Chuang,
Torque Ripple Reduction of Switched Reluctance Motor Using Fuzzy Control, Engineering
Computations, 2016. SCI, (ISSN:0264-4401 ), IF 1.01.
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4. Nguyen Phan Thanh, Ying-Shieh
Kung, Seng-Chi Chen and Hsin-Hung Chou, Digital Hardware
Implementation of a Radial Basis Function Neural Network, Computers and
Electrical Engineering, 2016. (SCI), (ISSN: 0045-7906 ), IF:
1.57.
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5.
Ying-Shieh Kung, Seng-Chi Chen, Jin-Mu
Lin and Tsung-Chun Tseng, FPGA-Realization of a Speed Control IC for Induction Motor Drive, Engineering
Computations, 2016. SCI, (ISSN:0264-4401 ), IF: 1.01
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6.
Ming Shyan Wang, Seng Chi Chen and Cih
Huei Shih, Speed control of brushless DC
motor by adaptive network based fuzzy inference, Microsystem Technologies, 2016. SCI, (ISSN: 0946-7076), IF: 1.195
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7.
Ming-Mao Hsu, Seng-Chi
Chen, Van-Sum Nguyen and Ta-Hsiang Hu, Fuzzy and Online Trained Adaptive
Neural Network Controller for an AMB System, Journal of Applied Science and
Engineering, 2015. EI, (ISSN: 1560-6686)
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8.
Ming-Shyan Wang, Seng-Chi
Chen, Po-Hsiang Chuang, Shih-Yu Wu, and Fu-Shung Hsu, Neural Network
Control-Based Drive Design of Servomotor and Its Application to Automatic
Guided Vehicle, Mathematical Problems in Engineering, 2015. SCI, (ISSN:1024-123X),
IF:0.644.
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9.
Seng-Chi Chen*, Van-Sum Nguyen, Dinh-Kha Le and Thi-Hoainam Nguyen, Active Magnetic
Bearing System Equipped With a Fuzzy Logic Controller, Journal of Science and
Engineering Technology, Vol. 10, No. 2. pp. 69-80. 2014. (ISSN: 1816-6563)
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10. Seng-Chi Chen*, Van-Sum
Nguyen, Dinh-Kha Le, and Nguyen Thi Hoai Nam, Nonlinear
Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control
with Radial Basis Function Neural Network, Journal of Applied Mathematics, 2014. SCI, (ISSN:1110-757X),
IF:0.72.
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11. Seng-Chi Chen*, Van-Sum Nguyen,
Dinh-Kha Le, Nguyen Thi Hoai-Nam, A Flywheel Energy Storage System Suspended by Active Magnetic Bearings
Using an Online Trained Adaptive Neural Network Controller, Applied
Mechanics and Materials, Vol. 602-605, pp.1411-1416, 2014. EI, (
ISSN 16609336). (MEAT 102-D0624)
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12. Ming-Mao Hsu,
Seng-Chi Chen and Ta-Hsiang Hu, Intelligent
Computer aided Design and Analysis to Achieve IE3 Premium Efficiency Standard
Induction Motors, International Journal of Electrical Engineering, 2014. EI,
( ISSN 18123031).
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13. Seng-Chi Chen*, Dinh-Kha
Le and Van-Sum Nguyen, Inductive
Displacement Sensors with a Notch Filter for an Active Magnetic Bearing
System, Sensors, 2014. SCI, (ISSN:14248220),
IF:2.245.
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14. Seng-Chi Chen*, D. K. Le
and V. S. Nguyen, 2014, "Adaptive Network-Based Fuzzy Inference System
(ANFIS) Controller for an Active Magnetic Bearing System with Unbalance
Mass," Lecture Notes in Electrical Engineering, Vol.282, No.1,
pp.433-443, 2014. (EI)
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15. S. C. Chen, Y. J. Lin,
M. M. Hsu and Y. N. Hu, "An Intelligent Sensorless Drive Strategy for a
Brushless DC Motor Based on Back-EMF Detection," Lecture Notes in
Electrical Engineering, Vol.234, No.1, pp.373-382, 2013. (EI) (NSC
94-2213-E-212-027)
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16. S. C. Chen, Y. J. Lin,
V. S. Nguyen and M. M. Hsu, "A Novel Fuzzy Neural Network Controller for
Maglev System with Controlled-PM Electromagnets," Lecture Notes in
Electrical Engineering, Vol.234, No.1, pp.551-561, 2013.(EI) (NSC
94-2213-E-212-027)
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17. Seng-Chi Chen*, Y. J. Lin,
M. M. Hsu and Y. N. Hu, 2012, "Magnet Shaping to Reduce Cogging Torque
for Radial Magnetization PM Motors," International Journal of Electrical
Engineering, Vol.19, No.3, pp.105-113. (EI) (NSC 94-2213-E-212-027)
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Conference Paper
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1. Seng-Chi Chen, Elisabeth Tansiana Mbitu, "Nonlinearities
Stabilization using Dithering Injection in Permanent Magnet DC Motor System," Proceedings of IEEE International Conference on Applied System
Innovation, IEEE ICASI 2018, pp. 98-101, 2018. ISBN 978-1-5386-4342-6.
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2. Seng-Chi Chen, Elisabeth Tansiana
Mbitu, "Permanent Magnet Brushless Motor Field Oriented
Control with Dither Signal Injection," Proceedings of IEEE
International Conference on Applied System Innovation, IEEE ICASI 2018, pp.
1141-1144, 2018. ISBN 978-1-5386-4342-6.
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3. Seng-Chi Chen*, Kuo,Chun-Yi, "Design and Implement of the Recurrent Radial Basis Function Neural
Network Control for Brushless DC Motor,
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International Conference on Applied System Innovation, IEEE ICASI 2017, ISBN
978-1-5090-4897-7.
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4.
Seng-Chi Chen*, Kuo,Chun-Yi, "Recurrent
Neural Network Sliding-Mode Fuzzy Controller for a Magnetic Levitation System,"
2017 International Symposium on
Novel and Sustainable Technology. ISBN 978-986-5627-34-8
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5.
Seng-Chi Chen*, Kuo,Chun-Yi, "An
Adaptive RBFNN Control Improving Performance for a Maglev, " Proceedings of 2016 International Automatic Control
Conference (CACS), 2016.
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6.
Seng-Chi Chen*, Elisabeth Tansiana Mbitu, "Quench Limit Cycle Using Different
Dither Signals in A Servo Motor System," IEEE ICASI 2016. (ISBN 978-1-5090-3869-5)
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7.
Seng-Chi Chen*, Ta-hsiang Hu, Dinh-Kha Le, "Hardware-in-loop Testing of an Active
Magnetic Bearing System," The 5th International Conference on Advanced
Manufacturing ICAM 2014.
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8.
S. C. Chen, D. K. Le, and V. S. Nguyen, "An Observer Controller for an Active
Magnetic Bearing System Exhibiting Unbalanced Mass," 2014 IEEE IS3C, Tai-Chung,
R.O.C.
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9.
S. C. Chen, V. S. Nguyen and D. K. Le , "An Online Trained Adaptive Neural
Network Controller for an Active Magnetic Bearing System," 2014 IEEE
IS3C, Tai-Chung, R.O.C.
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10.
S. C. Chen, D. K. Le, and V. S. Nguyen, 2013, "Adaptive Network-Based Fuzzy
Inference System (ANFIS) Controller for an Active Magnetic Bearing System
with Unbalance Mass," The International Conference on Advanced
Engineering Theory and Applications, Ho Chi Minh City, Vietnam.
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11. S. C. Chen, V. S. Nguyen, D. K. Le
and M. M. Hsu, "ANFIS Controller for an Active Magnetic Bearing
System," 2013 IEEE International Conference on Fuzzy Systems, Hyderabad,
India.
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