Multitek Indonesia : Jurnal Ilmiah
Vol 13, No 2 (2019): Desember

SIGNATURE PSO: MODIFIED PARTICLE SWARM OPTIMIZATION DENGAN FUZZY SIGNATURE DAN IMPLEMENTASI PADA OPTIMALISASI KENDALI LQR

Novendra Setyawan (Universitas Muhammadiyah Malang)
Ermanu Azizul Hakim (Universitas Muhammadiyah Malang)
Zulfatman Zulfatman (Unknown)

Article Info

Publish Date
01 Jan 2020

Abstract

Particle Swarm Optimization (PSO) is an optimization that is simple and reliable to complete optimization. In this method, the distribution of particles through global search and local search is the key obtained through searching with PSO through the inertia parameter. This paper describes the method of changing the weights on PSO using fuzzy signatures. In this paper, the method used to solve the problem of optimizing the LQR control parameters on the stabilization of a double inverted pendulum. Performance evaluation is done by another weight change algorithm. Integral Time Absolute Error (ITAE) 7% compared to other algorithms. PSO signatures have resilience and are optimal in fulfilling these interests.

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Journal Info
Multitek Indonesia : Jurnal Ilmiah
Website

Abbrev

multitek

Publisher

Universitas Muhammadiyah Ponorogo

Subject

Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering

Description

Multitek Indonesia : Jurnal Ilmiah is a journal published by the Technic Faculty, Universitas Muhammadiyah Ponorogo (Unmuh Ponorogo) in collaboration with Universitas Muhammadiyah Ponorogo Research and Community Service. Published twice a year (June and Desember), contains six to ten articles and ...