Parameter Estimation of Isotropic PMSMs Based on Multiple Steady-State Measurements Collected During Regular Operations

This paper proposes a novel method to estimate the parameters of isotropic PMSMs which uses only steady-state measurements load conditions commonly available during regular operations off-the-shelf industrial drives. Differently from existing online and offline approaches, proposed is designed considering real-world scenarios where ad-hoc tests, additional sensors implementation custom software procedures, such as signal injection, are highly discouraged. The rotor flux linkage, stator resistance inductance estimated with aid Adaline neural networks using two operating motor. Considering parameter variations according actual well influence inverter nonlinearity actuation delay, estimation errors minimized by proper selecting these optimal conditions. accuracy validated simulation experimental studies different number motor