Nonlinear predictive adaptive control of induction motor speeding system

Abstract

the theory of nonlinear optimal predictive control is applied to the ideal induction motor speeding system, and dynamic decoupling of rotor speed and flux can be obtained. Considering the varieties of load torque and rotor resistance, an identification scheme of model reference adaptive system asymptotically tracks the true values of the load torque and rotor resistance. So an adaptive control method which contains the identification scheme is adopted to counteract the effects of their varieties. The stability of close-loop system which includes the adaptive control method is proved. Simulation results show the proposed control method behaves preferable dynamic decoupling performance and robust performance.