Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-2006-118
Abstract
Recently model predictive control (MPC) scheme emerges as an efficient current control technique for dynamic performance of motor drives. For excellent dynamic performance, maximum torque per ampere (MTPA) control technique is utilized to achieve maximum torque while using minimum current constrain in contrast to conventional qaxis current control. Model predictive current control (MPCC) scheme alongside MTPA control is employed to replace the traditional constant gain proportional-integral (PI) current control and a nonlinear hysteresis current (HC) control schemes. The PI and hysteresis current controller offers satisfactory performance at ideal conditions but, with variable speed and load conditions, these control schemes cause high current harmonics, high torque ripples, and reduces the speed tracking performance. Therefore, MPCC is proposed to increase the performance of motor drive and reduces the current harmonics and torque ripple at varying load conditions. The proposed design is modeled in Matlab (MathWorks, Inc., Natick, MA, USA), and the results are compared with the traditional speed control schemes to verify the effectiveness. The simulation result shows that the MPCC for IPMSM offers high dynamic performance with reduced steady-state error under variable load conditions compared to conventional control scheme. With MPCC, the overall performance of IPMSM is improved and show robustness.
Keywords
Interior permanent magnet synchronous motors, maximum torque per ampere, nonlinear control, speed control, torque response, stability analysis
First Page
1994
Last Page
2011
Recommended Citation
USAMA, MUHAMMAD and KIM, JAEHONG
(2021)
"Performance improvement speed control of IPMSM drive based on nonlinearcurrent control,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 29:
No.
4, Article 9.
https://doi.org/10.3906/elk-2006-118
Available at:
https://journals.tubitak.gov.tr/elektrik/vol29/iss4/9
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons