Path Tracking Control Based on T-S Fuzzy Model for Autonomous Vehicles with Yaw Angle and Heading Angle

Author:

He Yelin1,Wu Jian1ORCID,Xu Fuxing1,Liu Xin1,Wang Shuai1,Cui Guanjie1

Affiliation:

1. School of Automotive Engineering, Liaocheng University, Liaocheng 252000, China

Abstract

Existing vehicle-road models used for road tracking do not take into account the side slip angle, which leads to a reduction in road tracking accuracy in scenarios where the vehicle is at a large side slip angle, such as an emergency lane change. Consequently, this study presents a path-tracking control technique based on the T-S fuzzy model of heading angle vehicle autonomy. In this paper, based on the yaw angle-based vehicle tracking model, a heading angle-based tracking model considering the side slip angle is constructed. Second, since the vehicle speed varies with time, this paper selects the membership function of the vehicle speed to establish the T-S fuzzy model of autonomous vehicle based on the yaw angle and heading angle, respectively, and ensures the robustness and stability over the whole parameter space by the linear parameter variation robust H∞ controller. Then, cost functions based on the yaw angle and heading angle augmented error systems are created separately to optimize the system’s overall performance. Ultimately, simulation and experimentation confirm that the algorithm for control, which is based on the fuzzy model of the heading angle vehicle, has superior autonomous trajectory performance.

Funder

Shandong Province Key R and D Program (Major Science and Technology Innovation Project) Tasks

Shandong Province Key R and D Program

Publisher

MDPI AG

Reference42 articles.

1. Possible causes & solutions of traffic jam and their impact on the economy of Dhaka City;Mahmud;J. Mgmt. Sustain.,2012

2. Globalization of the automobile industry in China: Dynamics and barriers in greening of the road transportation;Gan;Energy Policy,2003

3. Research on key technologies of autonomous driving platform;Yuan;J. Phys. Conf. Ser.,2021

4. The evolution of connected vehicle technology: From smart drivers to smart cars to… self-driving cars;Narla;Ite J.,2013

5. Sorniotti, A., Barber, P., and De Pinto, S. (2017). Automated Driving: Safer and More Efficient Future Driving, Springer.

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