Learning control for induction motor servo drives with uncertain rotor resistance

Abstract

The tracking control problem for induction motor servo drives with mechanical and electrical uncertainties is addressed. Under the assumptions that the reference profile for the rotor angle is periodic of known period and the rotor flux modulus reference signal is persistently exciting, a robust adaptive learning control is designed, which is adaptive with respect to the uncertain rotor resistance and is able to ‘learn’ the periodic disturbance signal due to mechanical uncertainties by identifying the Fourier coefficients of its truncated approximation.

Keywords:

• learning
• uncertain nonlinear systems
• robust adaptive control
• induction motors

Notes

Notes

1. Known flux initial conditions are considered here.

2. Even though the analysis is carried out under the assumption that the rotor resistance is an uncertain constant parameter, an abrupt time-varying rotor resistance perturbation is considered here in order to evaluate the control performance in a critical situation.