Jiaxing Zhou , Wei Chen , Yifan Deng , Qing Li , Zhao Deng
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引用次数: 0
Abstract
This study pioneers the application of the twistor framework to address pose-coupled disturbances in UAVs with time-varying payloads. The twistor-based time-varying UAV dynamics concurrently describes translational and rotational dynamics, eliminating the need for algebraic transformation operations inherent in decoupled approaches while avoiding the parameter redundancy and normalization constraint of dual quaternion. Although twistor resolves fundamental dynamic limitations of conventional approach, complex disturbances from the time-varying payload require controllers with enhanced robustness and efficiency—a challenge unmet by existing twistor-based framework. To tackle pose-coupled disturbances within this framework, a double hyperbolic sliding mode controller (DH-SMC) featuring a novel double hyperbolic reaching law is proposed in this study. Results from numerical simulations and hard ware in the loop (HIL) experiments demonstrate that the proposed DH-SMC significantly outperforms constant-velocity SMC (CV-SMC), achieving a 29.8% reduction in energy consumption, 15.1% faster convergence, and a 70.3% decrease in maximum steady-state position error, confirming its superior robustness and real-time capability.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.