Harmonic Suppression of Shunt Hybrid Filter Using LQR-PSO based

Hasan, Nor Shahida; Rosmin, Norzanah; Khalid, Saifulnizam Abd.; Osman, Dygku. Asmanissa Awg.; Ishak, Baharuddin; Musta’ámal, Aede Hatib

doi:10.11591/ijece.v7i2.pp869-876

Cited by 12 publications

(10 citation statements)

References 14 publications

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“…This is due to the time delay of data communication which generated an extra force on slave side. Error compensation and estimation are needed to be implemented in future [37,38]. In the force preset, parameters can be changed in a way that to compensate tissue stiffness variations.…”

Section: Resultsmentioning

confidence: 99%

Observer based dynamic control model for bilaterally controlled MU-lapa robot: Surgical tool force limiting

Pillai¹,

Wilasrusmee²,

Suthakorn³

2020

IJECE

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During laparoscopic surgeries, primary surgical tool insertion is the demanding and strenuous task. As the surgeon is unaware of the type of the tissue and associated parameters to conduct the insertion, therefore, to ease the procedure, the movement of the surgical tool needs to be controlled. It's the operational capabilities that are to be manipulated to perform a smooth surgery even from a distant location. In this study, a robot system is being introduced for laparoscopic primary surgical tool insertion. It will incorporate a novel observer based dynamic control along with robot assisted bilateral control. Moreover, a virtual spring damper force lock system is introduced through which the slave system will notify the master regarding the target achieved and excessive force. The validation of the proposed control system is experimented with bilaterally controlled MU-LapaRobot. The experiment is comprising 3 cases of bilateral control criteria which are non-contact motion, contact motion, and limit force locking. The results defined the same value for contact and non-contact motion by 0.3N. The results depicted a force error of 3.6% and a position error of 5.8% which validated the proposed algorithm.

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Section: Resultsmentioning

confidence: 99%

Observer based dynamic control model for bilaterally controlled MU-lapa robot: Surgical tool force limiting

Pillai¹,

Wilasrusmee²,

Suthakorn³

2020

IJECE

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“…This error is then converted into pulse width modulation (PWM) signal to control the inverter. From the power electronics point of view, this process is quite similar with the voltage/current source inverter [9]. In this work, the SAPF based on a five-level NPC voltage inverter is controlled by ANFIS connected to a passive R-L series output filter and injects equal harmonic currents, but in phase opposition with that of the harmonics generated by the non-linear load in the network.…”

Section: Introductionmentioning

confidence: 99%

ANFIS control of a shunt active filter based with a five-level NPC inverter to improve power quality

Tounsi

Allali

Boulouiha

et al. 2021

IJECE

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This paper addresses the problem of power quality, and the degradation of the current waveform in the distribution network which results directly from the proliferation of the nonlinear loads. We propose to use a five-level neutral point clamped (NPC) inverter topology for the implementation of the shunt active filter (SAPF). The aim of the SAPF is to inject harmonic currents in phase opposition at the connection point. The identification of harmonics is based on the pq method. A neuro-fuzzy controller based on ANFIS (adaptive neuro fuzzy inference system) is designed for the SAPF. The simulation study is carried out using MATLAB/Simulink and the results show a significant improvement in the quality of energy and a reduction in total harmonic distortion (THD) in accordance with IEC standard, IEEE-519, IEC 61000, EN 50160.

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“…Another algorithm is also commonly used for HAPF design, called the Particle Swarm Optimization (PSO) algorithm. The PSO algorithm is used to design an APF in a four-wire three-phase system in case of balanced and unbalanced loads but only consider to design for PPFs and optimization for the APF but not for the HAPF [16][17][18][19]. Another study to multi-objective design on HAPF is using an ant colony and bat algorithm [20,21] but only aslo multi-objective optimization design for PPFs.…”

Section: Introductionmentioning

confidence: 99%

Vortex search algorithm for designing hybrid active power filter

Thuyen¹,

Tung

Phong³

2020

IJEECS

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<p>This paper proposes a new multi-objective optimization design method for Hybrid Active Power Filter based on the Vortex Search algorithm. The Vortex Search algorithm belongs to the Single-Solution Based algorithm class of Metaheuristics algorithm. This design method has the advantage of fast execution time, high convergence speed and prevent local trap problems. The achieved results are multi-objective, such as minimum total harmonic distortion of the supply current and source voltage and satisfy many constraints such as system stability, resonance conditions of branches and limits of the parameters. Compared with the traditional design method, simulation results have proved that: the proposed design method is given with better results in minimizing total harmonic distortion of the supply current and source voltage.</p>

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Harmonic Suppression of Shunt Hybrid Filter Using LQR-PSO based

Cited by 12 publications

References 14 publications

Observer based dynamic control model for bilaterally controlled MU-lapa robot: Surgical tool force limiting

Observer based dynamic control model for bilaterally controlled MU-lapa robot: Surgical tool force limiting

ANFIS control of a shunt active filter based with a five-level NPC inverter to improve power quality

Vortex search algorithm for designing hybrid active power filter

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