TY - GEN
T1 - Efficient Power Design of Multi-core DSP TMS320C6678 Applied in Autonomous Aerial Refueling System
AU - Wu, Cihang
AU - Yan, Jianguo
AU - He, Shuai
AU - Qu, Yaohong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - Autonomous Aerial Refueling(AAR) is a significant capability for both manned and unmanned aerial vehicles when extended flight duration or range is required. In the probe-drogue refueling system, the most challenging issue is to make accurate docking between the probe and disorderly drogue. One of the promising techniques to solve this problem is machine vision, through which drogue can be detected and then tracked automatically in a short time. To achieve this goal, an embedded platform with multi-core DSP is required to acquire and then process the image data quickly. However, the power management of TMS320C6678 eight-core DSP suggested by the official guide is not so efficient and the operation ability of 8 parallel cores cannot be greatly performed due to insufficient output current. In this paper, a novel and high-performance power management system is proposed to deal with the problem above and the experimental results manifest the effectiveness for the new simplified system.
AB - Autonomous Aerial Refueling(AAR) is a significant capability for both manned and unmanned aerial vehicles when extended flight duration or range is required. In the probe-drogue refueling system, the most challenging issue is to make accurate docking between the probe and disorderly drogue. One of the promising techniques to solve this problem is machine vision, through which drogue can be detected and then tracked automatically in a short time. To achieve this goal, an embedded platform with multi-core DSP is required to acquire and then process the image data quickly. However, the power management of TMS320C6678 eight-core DSP suggested by the official guide is not so efficient and the operation ability of 8 parallel cores cannot be greatly performed due to insufficient output current. In this paper, a novel and high-performance power management system is proposed to deal with the problem above and the experimental results manifest the effectiveness for the new simplified system.
UR - http://www.scopus.com/inward/record.url?scp=85082449231&partnerID=8YFLogxK
U2 - 10.1109/GNCC42960.2018.9018911
DO - 10.1109/GNCC42960.2018.9018911
M3 - 会议稿件
AN - SCOPUS:85082449231
T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Y2 - 10 August 2018 through 12 August 2018
ER -