Moving horizon parameter estimation of series DC motor using genetic algorithm

Fault detection and diagnosis can effect system reliability and avoid expensive maintenance. In a manufacturing process, a simple fault can lead to environmental damage. In this way, one of the most commonly applied fault detection method is the parameter estimation technique. In this paper, we present an advanced algorithm for the estimation of electrical machine parameters by combining two approaches: the first one is the analytical Moving Horizon Estimation (MHE) strategy and the second one is the Genetic algorithm.