Evaluating the Performance of Fuzzy-PID Control for Lane Recognition and Lane-Keeping in Vehicle Simulations
نویسندگان
چکیده
This study presents the use of a vision-based fuzzy-PID lane-keeping control system for simulation single-track bicycle model. The (LKS) processes images to identify lateral deviation vehicle from desired reference track and generates steering command correct deviation. LKS was compared other methods, such as Ziegler–Nichols proportional derivative (PD) model predictive (MPC), in terms response time settling time. controller had best performance, with fewer oscillations faster methods. PD not robust under various conditions due changing parameters, while MPC accurate enough similar reasons. However, showed maximum 2 cm, 12 s, Kp Kd values 0.01 0.06, respectively. Overall, this work demonstrates potential using effective lane recognition vehicles.
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12030724