TY - GEN
T1 - Model Reference Adaptive Control of a Ball Valve for Hybrid Rocket Throttling Application
AU - Chen, Zuo Ren
AU - Chen, Rongshun
AU - Wu, Jong Shinn
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Thrust control of rocket engines is a critical technology in rocket system development. A throttling system with good performance improves efficiency of a launch vehicle and may enable the ability to land softly. Most rockets achieved thrust throttling by controlling a valve or venturi. Common control schemes require depth knowledge on the flow characteristics and apply classic linear control theories. In the past, we employed a 'continuous' gain scheduling controller on a ball valve to regulate oxidizer flow rate in hybrid rocket engines. However, it required tremendous effort on modeling and tuning to ensure uniform performance across multi-engine rocket. To circumvent this, a model reference adaptive control (MRAC) technique is derived and investigated in this paper. The adaptive law for control gain adjustment was derived with the well-known MIT rule. The model reference adaptive system (MRAS) was simulated in different scenarios to evaluate its performance. The encouraging results suggest that MRAC has a huge potential for the throttling application in real-world rocket engines.
AB - Thrust control of rocket engines is a critical technology in rocket system development. A throttling system with good performance improves efficiency of a launch vehicle and may enable the ability to land softly. Most rockets achieved thrust throttling by controlling a valve or venturi. Common control schemes require depth knowledge on the flow characteristics and apply classic linear control theories. In the past, we employed a 'continuous' gain scheduling controller on a ball valve to regulate oxidizer flow rate in hybrid rocket engines. However, it required tremendous effort on modeling and tuning to ensure uniform performance across multi-engine rocket. To circumvent this, a model reference adaptive control (MRAC) technique is derived and investigated in this paper. The adaptive law for control gain adjustment was derived with the well-known MIT rule. The model reference adaptive system (MRAS) was simulated in different scenarios to evaluate its performance. The encouraging results suggest that MRAC has a huge potential for the throttling application in real-world rocket engines.
UR - http://www.scopus.com/inward/record.url?scp=85177419094&partnerID=8YFLogxK
U2 - 10.1109/CoDIT58514.2023.10284291
DO - 10.1109/CoDIT58514.2023.10284291
M3 - Conference contribution
AN - SCOPUS:85177419094
T3 - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
SP - 1104
EP - 1109
BT - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
Y2 - 3 July 2023 through 6 July 2023
ER -