A comprehensive overview of the ADALINE method applied to rapid voltage sags detection in multi-motors drive systems

Several strategies have been developed for identifying power quality issues, monitoring them, and compensating relevant disturbances. In this field, online estimate of amplitudes phase angles network voltages currents is commonly used. The adaptive linear neuron (ADALINE)-based voltage sag detection algorithm with least mean square (LMS) adaptation allows rapid convergence techniques based on artificial neural networks (ANN). This approach has the advantage being straightforward to implement hardware simple calculations (essentially multiply accumulate "MAC"). paper gives a comparison performance two ADALINE approaches ("with" "without" error supervision) detecting estimating dips. described models two-coupled motor system were implemented in MATLAB/Simulink/SimPowerSystems run simulations under various fault scenarios order create three-phase alarm signal. simulation outcomes are presented debated.