Abstract
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.
Since the DC series motor is widely used in several industrial sectors, the algorithm developed is potentially useful in order to implement a robust closed-loop control.
Accordingly, the implementation of this approach to the online estimation of the field and the armature resistance of DC series motor shows interesting results.