The five-phase induction motor

known for its simplicity among multiphase induction motors

offers benefits such as low noise

minimal torque ripple

and high load capacity

rendering it suitable for applications demanding high power and reliability. To counter the vulnerability of speed encoders to external disturbances

a model reference adaptive system (MRAS) without speed sensor vector control system is devised for five-phase induction motors to enable speed identification and achieve sensorless control. Subsequently

a dual-parameter identification system is developed based on MRAS to address the dependency of the traditional MRAS's magnetic flux reference model on stator resistance values

allowing for the simultaneous identification of speed and stator resistance with adaptive rate calculations for each parameter. The simulation of this dual-parameter identification system using Simulink demonstrates excellent speed identification performance across a range of speeds and load torques

with minimal overall identification errors and steady-state fluctuations of around 9.7 r/min. When encountering abrupt changes in stator resistance under transient load conditions

the identification error remains below 5%

showing errors of 8.7% at half-load and 13.7% at full-load.