TY - JOUR
T1 - Neuro-fuzzy control of interior permanent magnet synchronous motors
T2 - Stability analysis and implementation
AU - Dang, Dong Quang
AU - Vu, Nga Thi Thuy
AU - Choi, Han Ho
AU - Jung, Jin Woo
PY - 2013/11
Y1 - 2013/11
N2 - This paper investigates a robust neuro-fuzzy control (NFC) method which can accurately follow the speed reference of an interior permanent magnet synchronous motor (IPMSM) in the existence of nonlinearities and system uncertainties. A neuro-fuzzy control term is proposed to estimate these nonlinear and uncertain factors, therefore, this difficulty is completely solved. To make the global stability analysis simple and systematic, the time derivative of the quadratic Lyapunov function is selected as the cost function to be minimized. Moreover, the design procedure of the online self-tuning algorithm is comparatively simplified to reduce a computational burden of the NFC. Next, a rotor angular acceleration is obtained through the disturbance observer. The proposed observer-based NFC strategy can achieve better control performance (i.e., less steady-state error, less sensitivity) than the feedback linearization control method even when there exist some uncertainties in the electrical and mechanical parameters. Finally, the validity of the proposed neuro-fuzzy speed controller is confirmed through simulation and experimental studies on a prototype IPMSM drive system with a TMS320F28335 DSP.
AB - This paper investigates a robust neuro-fuzzy control (NFC) method which can accurately follow the speed reference of an interior permanent magnet synchronous motor (IPMSM) in the existence of nonlinearities and system uncertainties. A neuro-fuzzy control term is proposed to estimate these nonlinear and uncertain factors, therefore, this difficulty is completely solved. To make the global stability analysis simple and systematic, the time derivative of the quadratic Lyapunov function is selected as the cost function to be minimized. Moreover, the design procedure of the online self-tuning algorithm is comparatively simplified to reduce a computational burden of the NFC. Next, a rotor angular acceleration is obtained through the disturbance observer. The proposed observer-based NFC strategy can achieve better control performance (i.e., less steady-state error, less sensitivity) than the feedback linearization control method even when there exist some uncertainties in the electrical and mechanical parameters. Finally, the validity of the proposed neuro-fuzzy speed controller is confirmed through simulation and experimental studies on a prototype IPMSM drive system with a TMS320F28335 DSP.
KW - Interior permanent magnet synchronous motor (IPMSM)
KW - Linear matrix inequality (LMI)
KW - Neuro-fuzzy control (NFC)
KW - Robustness
KW - Speed control
KW - System uncertainties
UR - http://www.scopus.com/inward/record.url?scp=84885985422&partnerID=8YFLogxK
U2 - 10.5370/JEET.2013.8.6.1439
DO - 10.5370/JEET.2013.8.6.1439
M3 - Article
AN - SCOPUS:84885985422
SN - 1975-0102
VL - 8
SP - 1439
EP - 1450
JO - Journal of Electrical Engineering and Technology
JF - Journal of Electrical Engineering and Technology
IS - 6
ER -