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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...
Conventional models of induction machine for steady-state and dynamic analysis use fixed value of the rotor resistance; whereas for representing the deep-rotor-bar effect a second rotor branch is typically required therefore increasing the model complexity and order. This paper proposes a simple but very effective modification of traditional model, wherein a single-branch rotor resistance is changed...
This paper demonstrates the improved speed tracking performance of fuzzy based indirect field oriented control of induction motor drives in comparison to a conventional PI control in hybrid electric vehicle (HEV) application. Both types of controllers are subjected to changes in loading conditions and rotor resistance which is expected to vary with the high temperature of HEV drive environment. Results...
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