MA Siqun, WANG Zhaoqiang, HAN Bo, et al. An Improved Lateral Path Tracking Controller Based on Linear Quadratic Regulator[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(1): 130-140.
DOI:
MA Siqun, WANG Zhaoqiang, HAN Bo, et al. An Improved Lateral Path Tracking Controller Based on Linear Quadratic Regulator[J]. Mechanical Science and Technology for Aerospace Engineering, 2024, 43(1): 130-140.DOI: 10.13433/j.cnki.1003-8728.20220218.
An Improved Lateral Path Tracking Controller Based on Linear Quadratic Regulator
Path tracking plays an indispensable role in the autonomous driving of a vehicle. In order to ensure the real-time performance of the path tracking controller and improve its stability and adaptability
we improved a lateral path tracking controller based on the linear quadratic regulator (LQR). Firstly
we transform the vehicle′s dynamics model into a lateral error dynamics model. Based on this model
a feedforward plus feedback discrete LQR controller is designed. Then
the fuzzy control method is used to adjust the weighted coefficient of the LQR in real time according to the vehicle′s state. In addition
an update mechanism based on the cosine similarity is designed to reduce the calculation volume of the controller. Finally
the improved lateral path tracking controller was tested on the double change lane path through the Simulink-Carsim platform. The test results show that the controller dramatically improves the tracking accuracy