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Comparison and Simulation of Two Loss Minimization Algorithms for Field-oriented Control of Induction Motor

In this paper, a comparison of two loss minimization algorithms for induction motor drives derived for the Gamma network and the inverse Gamma network is performed. The basic principle of the algorithm is to find the optimal flux at which the motor has the lowest power losses at the desired torque and speed. The optimal flux is then given as the desired flux to the flux controller in the d-axis. To validate the algorithms, motor models in a stationary frame were first built with non-constant magnetizing inductance and estimation of iron losses and mechanical losses. The proposed algorithms were verified by simulation in Matlab/Simulink environment with real motor parameters. The simulation results confirmed that both algorithms achieve the same efficiency. In terms of derivation complexity, the inverse Gamma network-derived model is simpler.