Fuzzy logic parameter estimation of an electrical system

Fuzzy logic systems have been extensively and successfully applied in control system over the past few years. However, they have been used much less often to estimation problems. Accordingly, this work proposes an application of fuzzy logic controller to estimate parameters of a series DC motor. The field and the armature resistance estimation of DC series motor is an important problem in order to implement a robust closed-loop control. Hence, the resistance is estimated by using fuzzy logic method according to the process behavior reflected in the measured output data. Generally, the parameter estimation is done by minimizing the coast criteria and using the squared error or other function. However, in the present development we try to replace the coast criteria batch and the optimization algorithm by fuzzy logic system.