Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Aerospace  /  Vol: 9 Par: 12 (2022)  /  Artículo
ARTÍCULO
TITULO

Trajectory Planning and Tracking for a Re-Entry Capsule with a Deployable Aero-Brake

Egidio D?Amato    
Immacolata Notaro    
Giulia Panico    
Luciano Blasi    
Massimiliano Mattei and Alessia Nocerino    

Resumen

In the last decade, the increasing use of NanoSats and CubeSats has made the re-entry capsule an emerging research field needing updates in configuration and technology. In particular, the door to advancements in terms of efficiency and re-usability has been opened by the introduction of inflatable and/or deployable aerodynamic brakes and the use of on-board electronics for active control. Such technologies allow smaller sizes at launch, controlled re-entries, and safe recovery. This paper deals with the design of a guidance and control algorithm for the re-entry of a capsule with a deployable aero-brake. A trajectory optimization model is used both in the mission planning phase to design the reference re-entry path and during the mission to update the trajectory in case of major deviations from the prescribed orbit, thanks to simplifications aimed at reducing the computational burden. Successively, a trajectory tracking controller, based on Nonlinear Model Predictive Control (NMPC), is able to modulate the opening of the aero-brake in order to follow the planned trajectory towards the target. A robustness analysis was carried out, via numerical simulations, to verify the reliability of the proposed controller in the presence of model uncertainties, orbital perturbations, and measurement noise.

 Artículos similares

       
 
Rui Mu, Wenhao Yu, Zhongxing Li, Changjun Wang, Guangming Zhao, Wenhui Zhou and Mingyue Ma    
This work designed a motion planning algorithm for autonomous vehicles in unanticipated obstacle scenarios. In standard driving scenarios, the proposed motion planning algorithm plans a trajectory that complies with intersection regulations, including la... ver más
Revista: Applied Sciences

 
Junlin Lou, Burak Yuksek, Gokhan Inalhan and Antonios Tsourdos    
In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in ... ver más
Revista: Aerospace

 
Thi-Hong-Hanh Nguyen, Tien-Hung Hou, Hai-An Pham and Chia-Cheng Tsai    
Pollution caused by marine oil spills can lead to persistent ecological disasters and severe social and economic damages. Numerical simulations are useful and essential tools for accurate decision making during emergencies and planning response actions. ... ver más

 
Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu    
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ... ver más

 
Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang    
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ... ver más
Revista: Applied Sciences