Optimisasi Steering Control Pada Mobil Listrik Auto-Pilot Menggunakan Metode Bat Algorithm
DOI:
https://doi.org/10.30736/je-unisla.v7i1.813Keywords:
Artificial Intelligence, Bat Algorithm, Steer KendaraanAbstract
Optimalisasi gerakan kemudi diperlukan untuk pergerakan kemudi dengan kendaraan. Gerakan yang salah menyebabkan mobil akan menghasilkan kesalahan posisi mobil pada jalur kendaraan. Beberapa studi telah dikembangkan dalam kemudi otomatis sepenuhnya dengan sistem kabel, termasuk yang dikhususkan untuk jalur input, menggunakan teknologi dan lintasan GPS. Pada penelitian ini sistem kemudi menggunakan kontroler PID Penggunaan Artificial Intelligence (AI) sangat membantu dalam mempercepat dan mengoptimalkan proses pengendalian kendaraan. Pada penelitian ini akan dikembangkan model Fully Automatic Steer By Wire System menggunakan 10 Degree Of Freedom (DOF) yang terdiri dari Model Kendaraan 7-DOF dan Model Penanganan Kendaraan 3-DOF. Metode yang digunakan adalah PID yang disetel metode kecerdasan buatan adalah Bat Algorithm (PID-BA). Sebagai pembanding digunakan juga Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), dan Firefly Algoritm (FA). Selanjutnya, metode ini digunakan untuk merancang mobil listrik nyata. . Pada kecepatan standar 13,8 km/jam, metode PID-BA memiliki error terkecil sebesar 0,019 m. Metode PID-BA mampu mempertahankan ketepatan lintasan pada kecepatan 75,9 km/jam memiliki error terkecil sebesar 0,234 m. Hasil ini menunjukkan bahwa kondisi kendaraan yang sangat ideal. Penelitian lebih lanjut dapat diikuti dengan kondisi kendaraan yang sebenarnya.Downloads
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