The Steer-by-Wire (SBW) system enhances steering control in automated driving technology. The adoption of dual three-phase permanent magnet synchronous motor (PMSM) in SBW system denotes an emerging trend, susceptible to model parameter mismatch under complex and variable operating conditions, impacting motor control. To address this, a deadbeat predictive current control algorithm based on multi-model adaptive law (MM-DPCC) has been proposed. This algorithm enhances motor control performance under parameter mismatch. In addition, a Fault Diagnosis and Fault Tolerant Control (FDFTC) strategy builds upon this, validated via MATLAB/Simulink simulations. The simulation results with different parameter mismatches demonstrated the robustness of MM-DPCC. Compared to traditional DPCC, the deviation of the average current iq of MM-DPCC decreases by 10.72% at 50% reduction of the magnetic flux. The amplitude of iq ripple current of MM-DPCC reduces by 22.87% at 50% increment in inductance. These results illustrate the promising prospects of the proposed MM-DPCC and FDFTC strategies for the application in fault-tolerant control of SBW systems and automatic driving.
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