Open AccessAdaptive and Robust Sliding Mode Position Control of IPMSM Drives
Author(s) -
Mohamed S. Zaky,
Сергей Александрович Шабан,
Tamer Fetouh
Publication year - 2017
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2017.01009
Subject(s) - control theory (sociology) , sliding mode control , computer science , position (finance) , mode (computer interface) , adaptive control , control (management) , control engineering , engineering , artificial intelligence , nonlinear system , physics , finance , quantum mechanics , economics , operating system
This paper proposes an adaptive and robust sliding mode control (SMC) for the position control of Interior Permanent Magnet Synchronous Motor (IPMSM) drives. A switching surface of SMC is designed using a Linear Quadratic Regulator (LQR) technique to simultaneously control the tracking trajectory and load torque changes. The quadratic optimal control method is used to select the state feedback control gain that constitutes the system dynamic performance under uncertainties and disturbances. Feedback and switching gains are selected to satisfy both stability and fast convergence of the IPMSM. Matlab/Simulink is used to build the drive system. Experimental implementation of the IPMSM drive is carried out using DSP-DS1102 control board. The efficacy of the proposed position control method is validated using theoretical analysis and simulation and experimental results