OPTIMAL PID CONTROLLER DESIGN FOR SPEED CONTROL OF A SEPARATELY EXCITED DC MOTOR: A FIREFLY BASED OPTIMIZATION APPROACH Article Swipe

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Pikaso Pal , Rajeeb Dey , Raj Kumar Biswas , Shubhashish Bhakta ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.5281/zenodo.6631331

This paper presents a new approach to determine the optimal proportional-integral-derivative controller parameters for the speed control of a separately excited DC motor using firefly optimization technique. Firefly algorithm is one of the recent evolutionary methods which are inspired by the Firefly’s behavior in nature. The firefly optimization technique is successfully implemented using MATLAB software. A comparison is drawn from the results obtained between the linear quadratic regulator and firefly optimization techniques. Simulation results are presented to illustrate the performance and validity of the design method.

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Electrical Engineering

Particle Swarm Optimization

Algorithm

Artificial Intelligence

Biology

Agronomy

Zoology

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PID controller Firefly algorithm Control theory (sociology) DC motor Firefly protocol Controller (irrigation) Electronic speed control Control engineering Computer science Control (management) Engineering Temperature control Electrical engineering Particle swarm optimization Algorithm Artificial intelligence Biology Agronomy Zoology

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Type: article
Language: en
Landing Page: https://doi.org/10.5281/zenodo.6631331
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Title: OPTIMAL PID CONTROLLER DESIGN FOR SPEED CONTROL OF A SEPARATELY EXCITED DC MOTOR: A FIREFLY BASED OPTIMIZATION APPROACH

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Language: en

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Publication year: 2022

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Publication date: 2022-06-10

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Authors: Pikaso Pal, Rajeeb Dey, Raj Kumar Biswas, Shubhashish Bhakta

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Landing page: https://doi.org/10.5281/zenodo.6631331

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Concepts: PID controller, Firefly algorithm, Control theory (sociology), DC motor, Firefly protocol, Controller (irrigation), Electronic speed control, Control engineering, Computer science, Control (management), Engineering, Temperature control, Electrical engineering, Particle swarm optimization, Algorithm, Artificial intelligence, Biology, Agronomy, Zoology

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