Adaptive fault-tolerant control of five-phase permanent magnet synchronous motor current using chaotic-particle swarm optimization

Abstract

Both torque ripple and current harmonics are enlarged due to single-phase open-circuit fault of five-phase permanent magnet synchronous motor (FPMSM). Based on chaotic-particle swarm, an adaptive optimization fault tolerant control algorithm is proposed for the FPMSM current. First, Park and Clarke matrices are modified in coordinate transformation process. A reduced-order decoupling matrix is obtained under the open-circuit fault of FPMSM stator winding. Second, the fault-tolerant current is generated with the principle of constant magnetomotive force. Third, the current is adaptively optimized using chaotic-particle swarm algorithm. Hence, motor torque and motor current keep uniform steady state and dynamic performance with them in regular operation. Finally, numerical simulations are carried out to verify the effectiveness of the developed method.

Robust Variable Structure Control Approach of Two Series-Connected Five-Phase PMSMs Under Healthy and Faulty Operation Modes

“…In [22], the authors proposed a nonlinear robust H-infinity control technique for improving trajectory following performance of autonomous ground electric vehicles. To remedy the above-mentioned limitations of the PI controllers, several researchers have suggested different non-linear control approaches, such as the backstepping approach [25], the fuzzy logic control [26] the input-output linearization control [27], the adaptive control [28], the nonlinear robust H-infinity control [22], the robust finite frequency H∞ control strategy [23], Robust Vibration Control [24] and the Sliding Mode Control (SMC) [29].…”