AN OPTIMISATION-BASED APPROACH FOR DESIGNING INDIRECT SENSORS APPLIED TO AN INDUCTION MOTOR

this article proposes an innovative strategy to the problem of non-linear estimation of states in an induction motor, (im). this method allows the estimation of variables that are difficult to access or that are simply impossible to measure. the estimation is made possible by using indirect measures, through the consideration of a dynamic model of the process and an estimation algorithm based on non-linear optimization. this state estimation strategy (a.k.a. moving horizon state estimation or mhse) in an im allows the determination of the flux magnitude and the velocity or position of the rotor. its principal advantages are the simplicity of its implementation, good convergence characteristics, independence from pre-established model structures, and easy tuning. simulated results corroborate the effectiveness of the proposed method through estimates of the velocity of an im under different operational situations