implementation of low-cost architecture for control an active front end rectifier

In ac-dc power conversion, active front end rectifiers offer several advantages over diode rectifiers such as bidirectional power flow capability, sinusoidal input currents and controllable power factor. a digital finite control set model predictive controller based on fixedpoint computations of an active front end rectifier with unity displacement of input voltage and current to improve dynamic response has been presented in this paper. here by using a predictive cost function and fixed-point computations, the optimal switching state to be applied in the next sampling is selected. the low-cost architecture is implemented on a fpga platform. designed architecture is constructed based on fixed-point arithmetic with minimal functional units. the control algorithm, which is used in this architecture, is finite-set model predictive control (fs-mpc). compared with other controllers, this controller provides a much better dynamic performance. finally, in order to evaluate the accuracy of the fixed-point computations several cases for various loading conditions and word lengths are verified.