Model predictive control of induction motor based on amplitude–phase motion equation. Issue 9 (17th July 2019)

• Record Type: Journal Article
• Authors: Lu, Ziguang; Zhang, Ruilin; Hu, Likun; Gan, Lin; Lin, Jingyu; Gong, Pingping
• Is Part Of: IET power electronics. Volume 12:Issue 9(2019)
• Page Start: 2400
• Page End: 2406
• Publication Date: 2019-07-17
• Subjects: predictive control -- machine control -- torque control -- induction motors -- induction motor drives; reactive torque -- radial orientation -- novel MPTC strategy -- conventional MPTC -- RT‐MPC -- time scales -- flux amplitude -- weighting factor -- control variables -- rotor flux -- control complexity -- model predictive control -- induction motor -- amplitude–phase motion equation -- tedious adjustment -- wide application -- conventional model predictive torque control -- IMs -- r; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2019.0093
• Languages: English
• ISSNs: 1755-4535

Abstract

Abstract : Tedious adjustment of the weighting factor restricts the wide application of conventional model predictive torque control (MPTC) for induction motors (IMs) in practice. To solve this problem, this study introduces a new variable R (reactive torque) to control the flux of IM, which is the dual of torque T, with radial orientation and in relation to reactive power. Then, a novel MPTC strategy based on variable R and torque T is proposed and named RT‐MPC. Compared with conventional MPTC, RT‐MPC uses a pair of variables with the same dimensions and time scales instead of the torque and flux amplitude in MPTC. This approach eliminates the weighting factor of the cost function, unifies the time scales of control variables, and avoids prediction of rotor flux at the ( k + 2) instant. Simulation and experimental results show that RT‐MPC can avoid the weighting factor, reduce switching frequency, and reduce control complexity. RT‐MPC can also maintain excellent dynamic and steady‐state performance similar to conventional MPTC. Hence, the proposed method is expected to be more practical.