Abstract
This paper derives the algorithm of integral plus finite control set (FCS) -predictive control for AC motor drives. In the paper, it is shown that the original FCS-predictive control algorithm in the d – q reference frame is equivalent to a dead-beat control system in the presence of constraints, where the closed-loop system is approximated by a unit time delay. Without integral action, the original FCS-predictive control system contains steady-state errors in both d-axis and q-axis currents, hence compromising closed-loop performance. Using an integral control in a cascaded structure to the original FCS-predictive control, a simple algorithm is proposed to eliminate the steady-state errors of the current control system and improve its closed-loop performance. The sampling interval of the current control system is used as a performance tuning parameter for reduction of current variations. Furthermore, the algorithm is expressed in a velocity form for convenience in implementation using a digital signal processor. Experimental results are used to show the successful design and implementation of the integral finite control set (I-FCS) predictive control.
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