2015
DOI: 10.1109/tpel.2014.2376983
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Self-Reconfiguration Property of a Mixed Signal Controller for Improving Power Quality Compensation During Light Loading

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Cited by 11 publications
(2 citation statements)
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“…In order to verify the influence of online inductance identification compensation algorithm on deadbeat control strategy based on frequency multiplication sampling, the Simulink simulation model of online inductance compensation algorithm is established. e influence of inductance error on the current harmonic distortion ATHD [37] in the deadbeat control algorithm is studied because the grid-connected LC filter is also the influencing factor of the grid current ATHD. erefore, the parameters of the LC filter remain unchanged in the simulation process, by modifying the initial value of the inductance of the deadbeat control model.…”
Section: Simulation and Analysis Of Online Inductance Identification mentioning
confidence: 99%
“…In order to verify the influence of online inductance identification compensation algorithm on deadbeat control strategy based on frequency multiplication sampling, the Simulink simulation model of online inductance compensation algorithm is established. e influence of inductance error on the current harmonic distortion ATHD [37] in the deadbeat control algorithm is studied because the grid-connected LC filter is also the influencing factor of the grid current ATHD. erefore, the parameters of the LC filter remain unchanged in the simulation process, by modifying the initial value of the inductance of the deadbeat control model.…”
Section: Simulation and Analysis Of Online Inductance Identification mentioning
confidence: 99%
“…The FPGA reconfiguration capability and its parallel processing power are "hot topics", recognised in many papers focused in industrial applications: hardware implemented polar decoders [1], FPGA embedded controller of an n-Level DC-DC-AC inverter [2] or hardware implementation of predictive control algorithms for power converters [3] With the newly emerged development environments for All Programmable Systems-on-Chip (SoCs) and multiprocessor Systems-on-Chip (MPSoCs) complex algorithms are now implemented in FPGA embedded processors [4]: FPGA/DSPbased digital controller with self-reconfiguration property for power quality compensation [5], FPGA embedded multiprocessor PLC that provides high execution speed, multiprocessing programming [6]. Despite ANNs being implemented in hardware for more than 25 years [7], it remains in the centre of attention for many researchers and a variety of methods to develop hardware implemented ANNs have been reported in the literature in the past decade [8,9].…”
Section: Introductionmentioning
confidence: 99%