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3 June 2022 Implementing the EKF using FPGA for aerospace application
Mohammad A. AlShabi, Talal Bonny
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Proceedings Volume 12121, Sensors and Systems for Space Applications XV; 121210L (2022) https://doi.org/10.1117/12.2623820
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States
Abstract
In this paper, the extended Kalman filter is used to estimate the states of an electro-hydrostatic actuator. The filter is then programmed using very high-speed hardware description language (VHDL) and realized using a field programmer gate array (FPGA) prototyping board from Xilinx. The design is then optimized to improve the performance using different techniques. The results show that the implementation of the system requires a minimal amount of FPGA resources.
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Mohammad A. AlShabi and Talal Bonny "Implementing the EKF using FPGA for aerospace application", Proc. SPIE 12121, Sensors and Systems for Space Applications XV, 121210L (3 June 2022); https://doi.org/10.1117/12.2623820
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KEYWORDS
Field programmable gate arrays
Aerospace engineering
Actuators
Filtering (signal processing)
Prototyping
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