Analysis of linguistic fuzzy control for curved-path-following autonomous vehicles

2002 ◽  
Author(s):  
Y.H. Fung ◽  
S.K. Tso
Keyword(s):  
Fuzzy Control ◽  
Autonomous Vehicles ◽  
Path Following

Yaw rate tracking-based path-following control for four-wheel independent driving and four-wheel independent steering autonomous vehicles considering the coordination with dynamics stability

2020 ◽  
Vol 235 (1) ◽  
pp. 260-272
Author(s):  
Yixiao Liang ◽  
Yinong Li ◽  
Ling Zheng ◽  
Yinghong Yu ◽  
Yue Ren
Keyword(s):  
Autonomous Vehicles ◽  
Longitudinal Velocity ◽  
Path Following ◽  
Linear Matrix ◽  
Yaw Rate ◽  
Path Following Control ◽  
Inequality Theory ◽  
Conflicting Objectives ◽  
Upper Level ◽  
Dynamics Stability

The path-following problem for four-wheel independent driving and four-wheel independent steering electric autonomous vehicles is investigated in this paper. Owing to the over-actuated characters of four-wheel independent driving and four-wheel independent steering autonomous vehicles, a novel yaw rate tracking-based path-following controller is proposed. First, according to the kinematic relationships between vehicle and the reference path, the yaw rate generator is designed by linear matrix inequality theory, with the ability to minimize the disturbances caused by vehicle side slip and varying curvature of path. Considering that the path-following objective and dynamics stability are in conflict with each other in some extreme path-following conditions, a coordinating mechanism based on yaw rate prediction is proposed to satisfy the two conflicting objectives. Then, according to the desired yaw rate and longitudinal velocity, a hierarchical structure is introduced for motion control. The upper-level controller calculates the generalized tracking forces while the allocation layer optimally distributes the generalized forces to tires considering tire vertical load and adhesive utilization. Finally, simulation results indicate that the proposed method can achieve excellent path-following performances in different driving conditions, while both path-following objective and dynamics stability can be satisfied.

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