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This paper proposes a new application of a chaos particle swarm optimization (PSO) algorithm for loss model-based energy efficient control of an induction machine (IM) using an optimal rotor flux reference. The chaos PSO algorithm with a logistic map has been used for initializing a random value of the rotor flux reference, the inertia weight and two independent random sequences in the velocity update...
This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator...
Indirect field oriented control of an induction machine requires knowledge of the rotor time constant to estimate the rotor flux linkages. An online method is described for estimating the rotor time constant and the stator resistance both of which vary during operation of the machine due to ohmic heating. The method formulates the problem using a nonlinear least-squares criterion and is guaranteed...
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