Developing Adaptive Cruise Control Based on Fuzzy Logic Using Hardware Simulation

Basjaruddin, Noor Cholis; Kuspriyanto, Kuspriyanto; Saefudin, Didin; Nugraha, Ilham Khrisna

doi:10.11591/ijece.v4i6.6734

Cited by 22 publications

(16 citation statements)

References 12 publications

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“…ALC adalah salah satu sub sistem dari Advanced Driver Assistance Systems (ADAS) yaitu perangkat yang dapat membantu pengemudi sehingga perjalanan bisa selamat dan nyaman [8]. Sub sistem ADAS lainnya antara lain Automatic Braking System (ABS) [9], Adaptive Cruise Control (ACC) [10], Lane Keeping Assist System (LKAS) [11] dan [12], dan Overtaking Assistant System (OAS) [13].…”

Section: Pendahuluanunclassified

Adaptive Light Control Berbasis Kendali Fuzzy

Basjaruddin¹,

Saefudin

Fredian

et al. 2018

JRE

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Abstrak-Lampu mobil standar akan bersinar dengan intensitas tetap meskipun cahaya lingkungan berubah-ubah.Intensitas lampu yang tinggi kadang membuat pengemudi lain silau dan berpotensi menyebabkan kecelakaan. Adaptive Light Control (ALC) adalah sistem pengatur lampu depan mobil yang secara otomatis dapat menyesuaikan intensitas lampu sesuai dengan intensitas cahaya lingkungan. Pada penelitian ini dikembangkan ALC yang mampu mengatur intensitas lampu sesuai dengan intensitas cahaya lingkungan termasuk cahaya lampu mobil di depan. Pengaturan lampu dilakukan menggunakan sistem kendali fuzzy dengan memanfaatkan intensitas cahaya lingkungan dan jarak mobil terhadap objek sebagai masukan. Sistem ALC yang dikembangkan diuji coba pada mobil remote control yang dilengkapi sensor dan mikrokontroler. Hasil pengujian menunjukkan bahwa ALC yang dikembangkan dapat bekerja sesuai rancangan. Kata kunci: Adaptive Light Control, logika fuzzy, lampu depan mobilAbstract-Standard headlights will shine with a fixed intensity even though the environmental light changes. Highintensity lights sometimes make other drivers glare and potentially cause accidents. Adaptive Light Control (ALC) is a car headlights control system that can automatically adjust the intensity of the lamp according to the intensity of the light environment. In this research, we developed ALC which was able to regulate the intensity of the lamp according to the intensity of the environmental light including the light of the car in front. Light settings are performed using a fuzzy control system by utilising environmental light intensity and the distance of the car to the object as input. The developed ALC system was tested on remote control cars equipped with sensors and microcontrollers. The intensity of headlight begins to fade on the distance of the car to the object of 92 cm for objects in front of, 108 cm for objects on the left, and 22 cm for objects on the right.

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Section: Pendahuluanunclassified

Adaptive Light Control Berbasis Kendali Fuzzy

Basjaruddin¹,

Saefudin

Fredian

et al. 2018

JRE

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“…We use MATLAB for the design and adjustment of the The fuzzy control system runs in real time on the microcontroller. For this purpose, the sensed signals are discretized at 10 bits, and the operations are carried out inside the microcontroller in fixed point [2]. The output to actuators is filtered to an analog value by PWM.…”

Section: Control Schemamentioning

confidence: 99%

Fuzzy control for cylindrical grasp in anthropomorphic hand

Rodriguez¹,

Romero²,

Sarmiento³

2017

ces

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This paper shows the control of a robotic anthropomorphic hand. The prototype is a modification of a design previously made by the ARMOS research group. This hand has as objective to perform a cylindrical grasp in a way that is trustworthy for a plastic bottle, using an arrangement of RFS sensors (Resistive Force Sensors) placed in the tips of the fingers, and servomotors that will perform the closing movement. The control scheme uses fuzzy logic as the smart decision strategy. The results on the prototype demonstrate the high performance of both the robot and its control scheme.

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“…Khusus untuk menghindari tabrakan frontal digunakan HCAS yang merupakan subsistem dari ADASs. Bagian ADASs yang lain antara lain Adaptive Cruise Control (ACC) [6] dan Overtaking Assistant System (OAS) [7].…”

Section: Pendahuluanunclassified

Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy

Basjaruddin¹,

Kuspriyanto²,

Saefudin³

et al. 2016

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Abstract-About 10% of collisions resulting in death is due to frontal collision. Head-on Collision Avoidance System (HCAS) is a device that can prevent a frontal collision by means of braking or evasive. Two ultrasonic sensors are used to monitor the vehicles in front and to the right. Two distances are observed by sensors, then become input for decision making system based on fuzzy logic. This decision-making system output is the vehicle forward, stop, or evasive movement. Simulation result using a remote control car proves that the decision making system designed with fuzzy logic can work with a success rate of over 90%.Intisari-Sekitar 10% dari tabrakan yang mengakibatkan kematian disebabkan oleh tabrakan frontal. Head-on Collision Avoidance System (HCAS) adalah perangkat yang dapat mencegah tabrakan frontal dengan cara mengerem atau menghindar. Dua sensor ultrasonik digunakan untuk memantau kendaraan di depan dan di samping kanan. Kedua jarak yang terpantau sensor menjadi masukan bagi sistem pengambilan keputusan berbasis logika fuzzy. Keluaran sistem pengambilan keputusan ini adalah kendaraan maju, berhenti, atau menghindar. Hasil simulasi dengan menggunakan mobil remote control membuktikan bahwa sistem pengambil keputusan yang dirancang dengan logika fuzzy dapat bekerja dengan tingkat keberhasilan di atas 90%.Kata Kunci-head-on collision avoidance system, tabrakan frontal, logika fuzzy.

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Developing Adaptive Cruise Control Based on Fuzzy Logic Using Hardware Simulation

Cited by 22 publications

References 12 publications

Adaptive Light Control Berbasis Kendali Fuzzy

Adaptive Light Control Berbasis Kendali Fuzzy

Fuzzy control for cylindrical grasp in anthropomorphic hand

Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy

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