Modeling and QFT-based design of vector control induction motors

In this paper, modeling, robust controllers design, and the implementation of a vector control induction motor are proposed. To efficiently obtain the practical varying ranges of mechanical parameters, moment of inertia and f riction coefficient, corresponding to the designated working environments, a high-reproducibility experiment is conducted by two stipulated orthogonal arrays. Moreover, we can determine the primary factor dominating the pertu rbations of the model. At the stage of controller design, in order to obtai n a high performance induction motor drive, an inner-outer cascaded control scheme of quantitative feedback theory is utilized to derive the robust sp eed and position controllers. Having tested the performance of system with the proposed controllers embedded by simulation, a PC-based vector control induction motor is also successfully implemented. The experimental results illustrate that the proposed controllers indeed provide satisfactory dynami c behaviors even the inertia varies with the range of +/- 15% from its nomi nal value and the friction coefficient changes to +/- 25 times from its nom inal value.