A comparative study of various MRAS-based IM's rotor resistance adaptation methods

Detuning Minimization of Induction Motor Drive System for Alternative Energy Vehicles

“…Although it has been widely studied over the last three decades, an effort to make the tuning of rotor time constant simpler and accurate is still being researched. The three different approaches adopted for overcoming the detuning problem are: (i) designing an intelligent controller, which can work effectively even when the machine parameters are inaccurate [8][9][10][11]; (ii) designing an offline rotor resistance adaptation technique [6]; and (iii) designing an online rotor resistance identification mechanism [7,[12][13][14][15][16][17][18][19][20][21][22][23].…”

“…Moreover, it also requires intensive controller characterization before the machine can be put into operation. Finally, the online resistance adaptation [12][13][14][15][16][17][18][19][20][21][22][23] is most appropriate choice because it can adjust the rotor time constant under all of the operating conditions. This paper proposes and compares an off-line tuning method [6] and another Model Reference Adaptive System (MRAS) based online tuning scheme [14] for the rotor resistance adaptation and analyzes their effectiveness through experimental study.…”

“…The off-line scheme propounded in this paper is a practical one and its performance is validated for the ISA application. The online rotor resistance adaptation techniques [12][13][14][15][16][17][18][19][20][21][22][23] are designed based on the neural network, or using sliding mode observer, or are realized by the Model Reference Adaptive Scheme (MRAS). For example, the online rotor resistance adaptation technique presented in [17] is based on an artificial neural network in which the error between the rotor flux linkages, based on a neural network model and a voltage model, is back propagated to adjust the weights of the neural network model for the rotor resistance estimation.…”

“…An adaptive variable structure identifier that provides finite time convergent estimate of the induction motor rotor resistance under feasible persistent of excitation condition is presented in [20]. A comparison between various model reference adaptive schemes (MRAS) has been presented in [21] and it has been documented that an MRAS based technique can effectively work for the rotor resistance adaptation. This paper also proposes an MRAS based online rotor resistance adaptation scheme [14].…”

“…This paper also proposes an MRAS based online rotor resistance adaptation scheme [14]. The proposed technique is simpler than the ones presented in the past [16][17][18][19][20][21][22][23], does not require rigorous tuning like neural net, and proved to effectively adjust the rotor resistance on a prototype 3.75 kW induction machine.…”