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Hierarchical Harmonic-Injection and Nonlinear Model Predictive Control for Fault-Tolerant Operation of High-Power Seven-Phase Induction Motor Drives

Articles in Press

Document Type : Research Article

Authors

1 Department of Electrical Engineering, Khorm.C., Islamic Azad University, Khormoj, Iran

2 Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran

3 Department of Computer Engineering, Bu.C., Islamic Azad University, Bushehr, Iran

Abstract

High-power multiphase induction motors are attractive for safety-critical and power-intensive applications because of their inherent advantages, including superior fault tolerance, lower per-phase power requirements, and reduced torque pulsation. Under open-phase faults, however, the loss of phase symmetry couples the fundamental and harmonic subspaces, increasing torque ripple and current distortion. This paper develops a hierarchical control framework for a high-power seven-phase induction motor that combines online harmonic-reference optimization with enhanced nonlinear model predictive control (ENMPC). The upper layer estimates the machine state and slowly varying electrical parameters using an Extended Kalman Filter (EKF) and weighted recursive least squares (WRLS), and determines reference components in the third- and fifth-harmonic subspaces. The lower layer directly regulates the fundamental and harmonic current components subject to voltage, current, and terminal-state constraints. An explicit fault-constrained state-space representation is derived for one open phase and two adjacent open phases, and a terminal-set Lyapunov argument is given for nominal recursive feasibility and asymptotic closed-loop stability. MATLAB/Simulink simulations of the 1-MW plant consider a healthy interval, a single-phase open fault at 4 s, and an adjacent two-phase open fault at 8 s. For the reported cases, the compensated hierarchical controller maintains 5.76 kN·m and 4.68 kN·m of effective torque under the single- and two-phase fault conditions, respectively, while the corresponding torque-ripple factors are 4.8% and 8.5%. These results support the proposed architecture as a fault-tolerant control strategy while also defining the present study as simulation-based and motivating hardware-in-the-loop and experimental validation.

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References
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Control and Optimization in Applied Mathematics

Articles in Press, Corrected Proof
Available Online from 04 October 2026
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