This paper presents a performance comparison of feedback linearization and field oriented control for a synchronous reluctance machine. In order to represent realistic drive performance and dynamics, look-up tables of the machine inductances as a function of currents are used to include saturation effect. Additionally, a trained neural network was implemented to take the nonlinear behavior of the voltage source inverter into consideration. For a fair comparison between both methods, a genetic algorithm has been used for optimization of the controller settings. A linear model of the synchronous reluctance machine has been obtained after the nonlinearities are canceled through the feedback linearization where the dynamics of the machine are dictated by a reference plant model.     «

This paper presents a performance comparison of feedback linearization and field oriented control for a synchronous reluctance machine. In order to represent realistic drive performance and dynamics, look-up tables of the machine inductances as a function of currents are used to include saturation effect. Additionally, a trained neural network was implemented to take the nonlinear behavior of the voltage source inverter into consideration. For a fair comparison between both methods, a genetic al...     »