An Efficient FPGA based Real-Time Implementation Shunt Active Power Filter for Current Harmonic Elimination and Reactive Power Compensation

Abstract

-This paper proposes a new approach of Field Programmable Gate Array (FPGA) controlled digital implementation of shunt active power filter (SAPF) under steady state and dynamic operations. Typical implementations of SAPF uses microprocessor and digital signal processor (DSP) but it limited for complex algorithm structure, absence of feedback loop delays and their cost can be exceed the benefit they bring. In this paper, the hardware resources of an FPGA are configured and implemented in order to overcome conventional microcontroller or digital signal processor implementations. This proposed FPGA digital implementation scheme has very less execution time and boosts the overall performance of the system. The FPGA controller integrates the entire control algorithm of an SAPF, including synchronous reference frame transformation, phase locked loop, low pass filter and inverter current controller etc. All these required algorithms are implemented with a single all-on chip FPGA module which provides freedom to reconfigure for any other applications. The entire algorithm is coded, processed and simulated using Xilinx 12.1 ISE suite to estimate the advantages of the proposed system. The coded algorithm is also defused on a single all-on-chip Xilinx Spartan 3A DSP-XC3SD1800 laboratory prototype and experimental results thus obtained match with simulated counterparts under the dynamic state and steady state operating conditions.

Motor side active power filter for induction motor

“…A unique topology for a 3-phase active filter is reported in [7]. Controllers that are used in network side filter are fuzzy logic [8], field programmable gate array (FPGA) [9], artificial neural network (ANN) [10], adaptive filtering [11][12][13] etc. In all these methods, the source current is made sinusoidal which was distorted due to nonlinear and unbalanced loads.…”

Improved ADALINE Harmonics Extraction Algorithm for Boosting Performance of Photovoltaic Shunt Active Power Filter under Dynamic Operations

“…Uniquely and comprehensively, in dynamic operation, three tests are covered such as change of nonlinear loads for SAPF without PV, off-on test between PV and SAPF, and change of irradiances to PV. These tests are crucial as whenever there is a change in the SAPF's operation, the source current also undergoes a corresponding change [9]. In addition, as no such previous works on evaluating effect of PV to effectiveness of the harmonics extraction algorithm, this work proposes a new parameter known as percentage of source power reduction which will be elaborated later.…”

“…Adaptive Linear Neuron (ADALINE) is an ANN architecture used for functionality of APF. There is number of works on ADALINE that operates with a single linear neuron model method, which is called Widrow-Hoff (W-H) ADALINE [9][10][11]. Modified W-H ADALINE is an improvement from the basic W-H ADALINE algorithm as it focuses directly to extraction of the fundamental component with suitable learning rate in its updating algorithm [10].…”

“…Specifically, among artificial intelligence techniques, artificial neural network (ANN) is mainly focused due to its capability to perform fast and stable. The significant advantage of ANN is its ability to accurately estimate or extract the time varying fundamental component, both in terms of magnitude and phase angle, for mitigating harmonic components [9]. Adaptive Linear Neuron (ADALINE) is an ANN architecture used for functionality of APF.…”