IMPLEMENTASI ALGORITMA GENETIKA UNTUK OPTIMALISASI PID CONTROL PADA PLANT SEPARATOR INDUSTRI MIGAS
DOI:
https://doi.org/10.53026/sntem2025.v5i1.601Keywords:
Algoritma Genetika, Co-simulation, Integral Time Absolute Error, Kontrol PID, OptimasiAbstract
Pengendalian proses pada plant separator industri migas memerlukan sistem kontrol yang dapat menjaga stabilitas operasi pemisahan fluida. Kontroler Proportional-Integral-Derivative (PID) merupakan pilihan umum, namun penentuan parameter PID optimal pada sistem nonlinier dan dinamis menjadi tantangan. Penelitian ini mengimplementasikan Algoritma Genetika (GA) untuk mengoptimalkan parameter PID pada plant separator dengan fungsi objektif Integral Time Absolute Error (ITAE). Implementasi menggunakan pendekatan co-simulation yang mengintegrasikan Matlab/Simulink untuk pemodelan sistem dengan Python untuk eksekusi GA berbasis pustaka DEAP. Proses optimasi melibatkan operasi GA pada rentang parameter Kp ∈ [0,100], Ki ∈ [0,50], Kd ∈ [0,20]. Hasil penelitian menunjukkan GA menghasilkan parameter optimal (Kp=7.98, Ki=5.02, Kd=2.98) dengan peningkatan performa: settling time 32% lebih cepat, overshoot 46.5% lebih rendah, dan ITAE 37.9% lebih baik dibandingkan manual tuning. GA terbukti konsisten mencapai global optimum independen dari kondisi awal dibandingkan metode konvensional (Ziegler-Nichols dan auto-tuning Matlab). Temuan ini memvalidasi efektivitas Algoritma Genetika sebagai tool optimasi cerdas untuk meningkatkan respons dinamik dan keselamatan operasi pada plant separator industri migas.
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