Abstract
The main drawbacks of traditional finite set model predictive control are high computational load, large torque ripple, and variable switching frequency. A less complex deadbeat (DB) model predictive current control (MPCC) with improved space vector pulse-width modulation (SVPWM) under a single-phase open-circuit fault is proposed. The proposed method predicts the reference voltage vector in the α-β subspace by employing the deadbeat control principle on the machine predictive model; thus, the exhaustive exploration procedure is avoided to relieve the computational load. To perform the constant switching frequency operation and achieve better steady-state performance, a modified SVPWM strategy is developed with the same conventional structure, which modulates the reference voltage vector. This new approach is based on a redesigned and adjusted post-fault virtual voltage vector space distribution that eliminates the y-axis harmonic components in the x-y subspace and ensures the generation of symmetrical PWM pulses. Meanwhile, the combined merits of the DB, MPCC, and SVPWM methods are realized. To verify the effectiveness of the proposed control scheme, comparative experiments are performed on a five-phase permanent magnet synchronous motor (PMSM) drive system.
Highlights
Multi-phase machines have received substantial attention from the research community owing to their numerous advantages over their conventional three-phase counterparts, such as improved fault tolerance, better power distribution, and lower torque distortions [1,2,3]
A deadbeat model predictive current control (DB-MPCC) with an improved symmetrical space vector pulse-width modulation (SVPWM) is proposed for a five-phase permanent magnet synchronous motor (PMSM) under a single-phase open-circuit fault
The proposed DB-MPCC-SVPWM scheme was compared with an existing fault-tolerant virtual voltage vector-based finite control set model predictive current control (FCS-MPCC-VV) strategy described in Ref. [13]
Summary
Multi-phase machines have received substantial attention from the research community owing to their numerous advantages over their conventional three-phase counterparts, such as improved fault tolerance, better power distribution, and lower torque distortions [1,2,3]. The other type of conventional model predictive control is the modulated deadbeat model predictive control (DB-MPC), which uses a machine model and the deadbeat control principle to predict the reference voltage vector, after which a modulation stage generates the optimal PWM pulses [15] This strategy preserves the fast dynamic response of FCS-MPC with further benefits, such as reduced online computational load, low torque ripple, and constant switching frequency. A deadbeat model predictive current control (DB-MPCC) with an improved symmetrical SVPWM is proposed for a five-phase PMSM under a single-phase open-circuit fault. This strategy solves the optimization problem by predicting the reference voltage vector.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
