Estimation of Excitation Current of a Synchronous Machine Using Machine Learning Methods

A synchronous machine is an electro-mechanical converter consisting of a stator and rotor. The the stationary part that made phase-shifted armature windings in which voltage generated rotor rotating using permanent magnets or electromagnets. excitation current significant parameter machine, it immense importance to continuously monitor possible value changes ensure smooth high-quality operation itself. purpose this paper estimate on publicly available dataset, following input parameters: Iy: load current; PF: power factor; e: factor error; df: changing artificial intelligence algorithms. algorithms used research were: k-nearest neighbors, linear, random forest, ridge, stochastic gradient descent, support vector regressor, multi-layer perceptron, extreme boost where worst result was elasticnet, with R2 = ?0.0001, MSE 0.0297, MAPE 0.1442; best results were provided by boosting R2¯ 0.9963, MSE¯ 0.0001, MAPE¯ 0.0057, respectively.