MODEL REFERENCE ADAPTIVE SYSTEM BASED SPEED CONTROL OF SENSOR-LESS FIVE PHASE INDUCTION MOTOR

Abstract

This paper presents, rotor flux based model reference adaptive system speed estimator used for closed loop speed control of five phase induction motor without mechanical speed sensor. Multiphase motor drives with phase number greater than three phase leads to an improvement in the medium to high power drives application. The multiphase induction motor find application in special and critical area where high reliability is demanded such as Electric vehicles, aerospace application, ship propulsion and locomotive traction and in high power application. In principle, control methods for multi-phase machines are the same as for three-phase machines. Variable speed induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. To replace the speed sensor, information of the rotor speed is extracted from measured stator currents and voltages at motor terminals. Vector controlled drives require estimating the magnitude and spatial orientation of the fundamental magnetic flux in the stator or in the rotor. In this thesis, rotor flux based model reference adaptive system speed estimator is used for closed loop speed control of five phase induction motor without mechanical speed sensor with hysteresis current control. Model reference adaptive system designed to correct parameter variation to estimate the motor speed. As result the induction motor sensor-less control can operate over a wide range including zero speed. The sensor-less vector control operation has been verified by simulation on MATLAB. FOPI and PI controller was used for speed controller. The performance of two controllers has been verified through simulation results. It is seen that execute of the induction motor has improved when FOPI controller is used in place of classical PI controller