Conceptual framework for maneuverability control of mobile aerodrome support systems as nonholonomic platforms

Abstract

This paper presents a conceptual framework for maneuverability control of mobile aerodrome support systems, modeled as nonholonomic platforms with both real and virtual kinematic steering constraints. These systems – including tow tractors, mobile power units, and technical service vehicles – operate in spatially constrained airfield environments, precise maneuvering and adaptive control are critical for safe and efficient operations. A mathematical model is developed to formalize the trajectory control process under nonholonomic constraints, enabling accurate path planning and real-time correction. The proposed control system architecture integrates trajectory generation algorithms with adaptive feedback mechanisms, allowing the platform to respond dynamically to environmental changes and obstacle configurations. Special emphasis is placed on the use of virtual steering constraints, which simulate additional degrees of freedom without requiring physical modifications to the vehicle's mechanical structure. This approach enhances maneuverability and flexibility, particularly in tight operational zones. Experimental scenarios demonstrate the effectiveness of the proposed system in improving positioning accuracy, reducing trajectory correction frequency, and ensuring safe obstacle avoidance. The results are applicable to the development of intelligent ground support systems for aviation, contributing to increased automation, operational safety, and functional adaptability in high-density airfield traffic conditions.