Combined ANFIS method with FA, PSO, and ICA as Steering Control Optimization on Electric Car
| Main Authors: | Ali, Machrus, Muhlasin, -, Nurohmah, Hidayatul, Raikhani, Agus, Kadaryono, -, Sutantra, Nyoman |
|---|---|
| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Batu Malang
, 2018
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| Subjects: | |
| Online Access: |
http://repository.undar.ac.id/id/eprint/22/1/10.%20AGUS-PAPERjurnal%201%20combined%20anfis.pdf http://repository.undar.ac.id/id/eprint/22/2/10.%20AGUS-CEK-cek%20Jurnal%20combined%20anfis%20mthod.pdf http://repository.undar.ac.id/id/eprint/22/3/10.%20AGUS-PEER.pdf http://repository.undar.ac.id/id/eprint/22/ https://ieeexplore.ieee.org/document/8692885 |
Daftar Isi:
- An Adaptive Neuro-Fuzzy Inference System (ANFIS) is a kind of Artificial Neural Network that is based on Takagi–Sugeno Fuzzy Inference System. Since it integrates both neural networks and fuzzy logic principles, it has potential to capture the benefits of both in a single framework. ANFIS can be used to control and optimize the system automatically. Optimization of steer movement is necessary for steer movement with the vehicle. Faulty movement leads the car will generate errors position of the car on the vehicle line. Several studies have been developed in fully automated steer by cabling systems, including those devoted to input paths, using GPS technology and trajectories. In this study steering system using PID controller Use of Artificial Intelligence (AI) is very helpful in accelerating and optimizing the process of controlling PID and ANFIS. In this research, we will develop Fully Automatic Steer By Wire System model using 10 Degree Of Freedom (DOF) which consists of 7-DOF Vehicle Ride Model and 3-DOF Vehicle Handling Model. The method already used is the PID that is tuned using AI. This research combines ANFIS method with Firefly Algorithm (FA), Particle Swarm Optimization (PSO) and Imperialist Competitive Algorithm (ICA). Then compare the result with the FA-PID, PSOPID, ICA-PID, FA-ANFIS, PSO-ANFIS, and ICA-ANFIS. Furthermore, this method is used to design a real electric car. At a standard speed of 13.8 km/h, the ICA-ANFIS method has the smallest error of 0.005070 m. If the speed of the vehicle is changed change is able to maintain stay on track only up to speed 62.1 km/h. But the ICA-PID method can keep it on track to speeds of 69.0 km/h. The result of this simulation is the ideal condition of the vehicle. Further research may be followed by a real vehicle conditions. Keywords— ANFIS, Artificial Intelligence, PID, steering control, vehicle