Title :
Simulink/ModelSim co-simulation of sensorless PMSM speed controller using reduced-order Extended Kalman Filter
Author :
Kung, Ying-Shieh ; Hieu, Nguyen Trung
Author_Institution :
Dept. of Electr. Eng., Southern Taiwan Univ., Tainan, Taiwan
Abstract :
Based on Simulink/Modelsim co-simulation technology, the design of a sensorless control IP (Intellectual Property) using reduced-order EKF (Extended Kalman Filter) for PMSM (Permanent Magnet Synchronous Motor) drive is presented in this paper. Firstly, a mathematical model for PMSM is derived and the vector control is adopted. Secondly, the rotor flux position and rotor speed are estimated by using reduced-order EKF. These estimated values are feed-backed to the current loop for vector control and to the speed loop for speed control. Thirdly, the Very-High-Speed IC Hardware Description Language (VHDL) is adopted to describe the behavior of the sensorless speed control IP which includes the circuits of space vector pulse width modulation (SVPWM), coordinate transformation, reduced-order EKF, PI controller, etc. Fourthly, the simulation work is performed by MATLAB/Simulink and ModelSim co-simulation mode, provided by Electronic Design Automation (EDA) Simulator Link. The PMSM, inverter and speed command are performed in Simulink and the sensorless speed control IP of PMSM drive is executed in ModelSim. Finally, the co-simulation results validate the effectiveness of the sensorless PMSM speed control system.
Keywords :
Kalman filters; electronic design automation; hardware description languages; permanent magnet motors; synchronous motor drives; PI controller; Simulink/ModelSim co-simulation; coordinate transformation; intellectual property; mathematical model; permanent magnet synchronous motor drive; reduced-order EKF; reduced-order extended Kalman filter; rotor flux position; rotor speed; sensorless PMSM speed controller; sensorless control IP; sensorless speed control IP; space vector pulse width modulation; very-high-speed IC hardware description language; Covariance matrix; Equations; Estimation; Kalman filters; Mathematical model; Rotors; Velocity control;
Conference_Titel :
Industrial Electronics (ISIE), 2012 IEEE International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0159-6
Electronic_ISBN :
2163-5137
DOI :
10.1109/ISIE.2012.6237296