Finite control set and modulated model predictive flux and current control for induction motor drivesTools Odhano, S.A., Formentini, Andrea, Zanchetta, Pericle, Bojoi, R.I. and Tenconi, A. (2016) Finite control set and modulated model predictive flux and current control for induction motor drives. In: 42nd Annual Conference of IEEE Industrial Electronics Society (IECON 2016), 24-27 Oct 2016, Florence, Italy.
Official URL: http://ieeexplore.ieee.org/document/7793839/
AbstractThe paper presents a new implementation of direct flux and current vector control of an induction motor drive using the techniques of model predictive control. The advantages offered by predictive control are used to enhance the dynamics of direct flux vector control. To minimize the problems of variable switching frequency inherent to finite control set predictive control, an alternative approach using pulse width modulation is studied for command execution as occurs in the so-called modulated model predictive control. A comparison between finite control set and modulated model predictive control is presented and the results are also compared with the control implementation through traditional proportional-integral regulators to highlight the advantages and drawbacks of predictive control based strategies. Apart from a greater harmonic content in stator currents, the predictive control can offers control dynamics comparable with proportional-integral control while maintaining immunity against machine parameter variations and excluding the need for controller tuning
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