Design and Performance Analysis of Robust H∞ Controller for a Scaled Autonomous Multi-Wheeled Combat Vehicle Heading Control
This paper describes the design of a H∞ controller to track the desired heading angle for a scaled multi-wheeled combat vehicle considering the uncertainties that are difficult to estimate such as noise and disturbance. The augmented plant is structured by adjusting the weighting functions in presence of noise and disturbance. The developed H∞ framework is well suited for controlling the steering of the vehicle’s front four wheels individually to obtain the correct heading angle. The vehicle simulations are carried out and the robustness of the proposed heading angle tracking algorithm is incorporated. It has been found that the vehicle controller has the capability to achieve the desired heading angle changes with good performances and efficiency.