Experimental Study on Navigation Control of Autonomous Vehicles Using A Predictive Control Model

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 5

Year of Publication : 2024

Authors : Vo Thanh Ha, Nguyen Minh Huy, Tran Hoang Viet, Truong Xuan Nghiem, Duong Anh Tuan

10.14445/23488379/IJEEE-V11I5P121

How to Cite?

Vo Thanh Ha, Nguyen Minh Huy, Tran Hoang Viet, Truong Xuan Nghiem, Duong Anh Tuan, "Experimental Study on Navigation Control of Autonomous Vehicles Using A Predictive Control Model," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 5, pp. 235-241, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I5P121

Abstract:

The article discusses experimental research on the navigation control of self-driving cars using predictive control. The effectiveness of the solution lies in its ability to steer the vehicle within its lane and avoid collisions. Model Predictive Control (MPC) proves highly effective at speeds of 1 meter per second, ensuring smooth position changes, quick setup, and minimal steering angle deviations. This control approach could enhance the development of autonomous vehicles. The study lays the groundwork for future research and progress in autonomous vehicle navigation control. Recognizing the limitations of the current MPC controller at higher speeds, future studies could focus on integrating additional intelligent and adaptive control algorithms to enhance overall performance in various dynamic scenarios. Experimental validation is crucial for bridging theoretical concepts with real-world applications, providing a solid foundation for implementing MPC control systems in autonomous vehicles.

Keywords:

 Autonomous vehicles, MPC, Self-driving cars, Navigation control, Predictive control.

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