PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika
Kendali Model Prediktif Kokoh pada Model Suhu Rumah Kaca
Keywords
Greenhouse, MPC, RMPC, PSO Algorithm, Genetic Algorithm
Document Type
Article
Abstract
Dalam paper ini dibahas mengenai masalah sistem kendali suhu rumah kaca dengan mempertimbangkan variabel gangguan. Masalah kendali suhu rumah kaca ini dimodelkan dengan RMPC (Robust Model Predictive Control). Algoritma Particle Swarm Optimization (PSO) dan Genetic Algortihm (GA) digunakan untuk mencari penyelesaian masalah RMPC pada sistem suhu rumah kaca yang berupa masalah optimisasi berkendala. Berdasarkan hasil simulasi, teknik kendali RMPC mampu mengatur suhu rumah kaca sesuai suhu yang diinginkan dengan gangguan relatif kecil yaitu sebesar 0.09oC. Selain itu, waktu iterasi Algoritma PSO lebih cepat dalam menyelesaikan masalah RMPC pada sistem suhu rumah kaca dibandingkan dengan Algoritma Genetika.
Page Range
425-440
Issue
2
Volume
17
Digital Object Identifier (DOI)
10.21831/pythagoras.v17i2.51414
Source
https://journal.uny.ac.id/index.php/pythagoras/article/view/51414
Recommended Citation
Widayati, R., Sholikhatun, S., & Megawati, N. Y. (2022). Kendali Model Prediktif Kokoh pada Model Suhu Rumah Kaca. PYTHAGORAS : Jurnal Matematika dan Pendidikan Matematika, 17(2), 425-440. https://doi.org/10.21831/pythagoras.v17i2.51414
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