Design and Implementation of a Robust Predictive Control Scheme for Active Power Filters

Abstract

This paper presents an effective robust predictive control scheme for the active power filter (APF) using a smith-predictor based current regulator, which show superior features when compared to proportional-integral (PI) controllers in terms of an enhanced closed-loop bandwidth and an improved current tracking accuracy. A moving average filter (MAF) is implemented using a field programmable gate array (FPGA) for signal pre-processing to eliminate the switching ripple contamination. An adaptive linear neural network (ADALINE) is used for individual harmonic estimation to achieve selective compensation purpose. The effectiveness and validity of the devised control algorithm are confirmed by extensive simulation and experimental results.

Adaptive DC-link Voltage Control for Shunt Active Power Filter

“…By contrast, power consumption and switching loss are directly proportional to the DC-link voltage [22], such that they may increase APF power consumption and loss. Compensation performance can be improved by adjusting the controller parameters or by applying better control algorithms (e.g., improved repetitive control [28], predictive control [29], and fuzzy control [30]), instead of increasing the DC-link voltage. Thus, APF power consumption and loss will not increase, and the APF can still operate in an ideal state, thus compensating the harmonic of load current and eliminating the harmonic pollution.…”

A New Synchronous Reference Frame-Based Method for Single-Phase Shunt Active Power Filters

“…As shown in (22), the transient time is dictated by the cut-off frequency of LPF. The higher the cut-off frequency, the faster is the transient response, as stated in [20] and [21].…”

“…1, a controller must regulate the DC-link voltage to maintain the energy balance between APF and the grid. In practice, converter losses and leakage of DC-link capacitors cause the active filter to draw a fundamental active component that maintains the DC-link voltage at its pre-defined value [22]- [25]. The DC-link voltage controller is adopted from [3] in which the small-signal model of the DC-link voltage loop is derived as presented in Fig.…”

High Performance Current Controller for Sparse Matrix Converter Based on Model Predictive Control

“…In order to predict the value of input current, an adequate model of the filter inductor current is and filter capacitor voltage v i is indispensable [14].…”