Design and Simulation of Intelligent Vehicle Trajectory Tracking Control Algorithm Based on LQR and PID
In order to improve the accuracy and robustness of intelligent vehicle trajectory tracking, a longitudinal and lateral control strategy based on linear quadratic regulator (LQR) and proportional-integral-derivative (PID) algorithm was proposed. First, the two-degree-of-freedom vehicle kinematics mod...
Main Authors: | Mingze XU, Qinghe LIU |
---|---|
Format: | Article |
Language: | English |
Published: |
Editorial Office of Journal of Taiyuan University of Technology
2022-09-01
|
Series: | Taiyuan Ligong Daxue xuebao |
Subjects: | |
Online Access: | https://tyutjournal.tyut.edu.cn/englishpaper/show-1959.html |
Similar Items
-
Design and Experimental Comparison of PID, LQR and MPC Stabilizing Controllers for Parrot Mambo Mini-Drone
by: Mohamed Okasha, et al.
Published: (2022-06-01) -
Intelligent-PID with PD Feedforward Trajectory Tracking Control of an Autonomous Underwater Vehicle
by: Zafer Bingul, et al.
Published: (2023-02-01) -
Brake Current Control System Modeling Using Linear Quadratic Regulator (LQR) and Proportional integral derivative (PID)
by: Anggara Trisna Nugraha, et al.
Published: (2022-05-01) -
System Identification and LQR Controller Design with Incomplete State Observation for Aircraft Trajectory Tracking
by: Piotr Lichota, et al.
Published: (2020-10-01) -
Intelligent Vehicle Lateral Control Method Based on Feedforward + Predictive LQR Algorithm
by: Tao Yang, et al.
Published: (2021-09-01)