Optimal Compensator Design using Genetic Algorithm

Penchalaiah, D.; Kumar, Gulshan; Gade, Murali Mohan; Talole, S. E.

doi:10.1016/j.ifacol.2018.05.087

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Also, less susceptibility for high frequency noise, which attenuates the forward path gain near and above the zero-gain crossover frequency. This improves the relative stability of the system and reduces steady-state error [17][18][19][20].…”

Section: Harmonic Compensatormentioning

confidence: 99%

Control and Design Constraints of Compensators for Mitigation of Harmonics in Photovoltaic Inverter

2019

IJRTE

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Compensators are devices which diminish the current harmonics of the lower order which are injected to the electric grid to meet the international standards. Resonant compensators are used to reduce the particular harmonics in grid-connected photovoltaic inverters. This paper presents how the harmonics are mitigated within the standards by using lead, lag, lead-lag compensators. The frequency deviation and transient response are considered the important factors during the design of the compensators. MATLAB design of grid connected photovoltaic inverter is presented with simulation result. A hardware of three phase photovoltaic load connected inverter with LCL filter was implemented. The simulation and experimental results of Grid connected Photovoltaic inverter with and without compensation are discussed. The harmonic profiles of these compensators are also presented.

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Section: Harmonic Compensatormentioning

confidence: 99%

Control and Design Constraints of Compensators for Mitigation of Harmonics in Photovoltaic Inverter

2019

IJRTE

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“…Therefore, using just tuning methods to adjust proportional gains is not sufficient to improve PID controller. On the other side, Evolutionary algorithms (EA) have been used over thirty years to find a solution for complex single and multi-objective optimization problems, for instance, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) [14][15][16]. The robustness of optimization algorithms can be characterized into two concepts.…”

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confidence: 99%

A response time reduction for DC motor controller using SISO technique

Alkhafaji¹,

Hasan

isa

et al. 2020

IJEECS

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In an industrial controller, over five decades there are many attempts had been proposed to improve a method of tuning proportional gains of PID controller. Where in the review there is a very little attention have been paid to use satisfactory tuning to get maximum performance. This paper proposes an alternative solution to maximize optimization for a controller-based DC motor. The novel methodology relies on merge proper tuning with optimization using SISO-Optimization technique-based tune ). The comparative study has been done by utilizing classical tuning methods Z N, SIMC, CHR, and AMIGO, to obtain suitable tuning to be joined with . The proposed PID controller was examined in term of response time characteristics. This strategy provides a superior reduction in peak overshoot Pos, dead time td, rise time tr, settling time ts, and peak time tp, that could be utilized to improve the responses of a DC motor controller. Based on comparison results, it was founded that a CHR based SISO_optimization playing a superior role over others in term of Pos 0%, td 0.1811µsec., tr 17.2 µsec, ts30.7 µsec, tp 80 µsec, and the number of iterations iter No 9.Ultimatly,this work overcome the majority of previouse work that related with this approach.

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