Skripsi
PERANCANGAN SISTEM KENDALI PERILAKU (BEHAVIOR CONTROL) PADA STEERING ANGLE DAN KECEPATAN AUTONOMOUS VEHICLE BERBASIS FUZZY LOGIC TYPE-2
The rapid increase in vehicles and population is a big challenge for autonomous vehicles, as they need reliable steering and speed to ensure road safety. Control systems are crucial in shaping the driving behavior of autonomous vehicles. Designing a control system that manages both the steering angle and speed is complex. This study designs a behavior control system for steering angle and speed using type-2 fuzzy logic. Simulations compare type-1 and type-2 fuzzy logic, showing that type-2 produces more stable and varied outputs. Real-time tests using 3 and 5 membership functions show that type-2 fuzzy logic can adjust steering and speed based on road conditions with 4 inputs. Performance tests compare the steering and speed responses of each membership function with human driving. Type-2 fuzzy logic with 5 membership functions better replicates human driving behavior, with an average steering angle error of 12.1˚ and an average speed error of 0.185 km/h.