TY - GEN
T1 - Structured H∞Regulations Applied to AUV Yaw Control
AU - Yang, Rui
AU - Liu, Yan
AU - Monnet, Dominique
AU - Clement, Benoit
AU - Mansour, Ali
PY - 2019/6
Y1 - 2019/6
N2 - Structured H∞ regulation provides robust controllers with highly generalized forms, and recent Min-Max Interval Branch and Bound Algorithm (MMIBBA) improves the H∞ synthesis efficiency by solving global optimized result in a guaranteed way. Due to the advantages such as global optimization over a local result, convex reformulation, and reduced order form, structured H∞ control method is very attractive to Autonomous Underwater Vehicle (AUV) control issues in presence of uncertainties. However, formulating structural H∞ problem deeply affects the global optimizing result. Key issues such as designing controller structures and formulating optimization constraints are still challenging. Therefore, this paper studied three structural H∞ controllers: PID, Anti-Windup PID, and Minimal-Zero PID. Different H∞ control structures and optimization constraints are designed and compared on CISCREA AUV yaw control scenario. Corresponding robust synthesis results and control simulation are analyzed in the end.
AB - Structured H∞ regulation provides robust controllers with highly generalized forms, and recent Min-Max Interval Branch and Bound Algorithm (MMIBBA) improves the H∞ synthesis efficiency by solving global optimized result in a guaranteed way. Due to the advantages such as global optimization over a local result, convex reformulation, and reduced order form, structured H∞ control method is very attractive to Autonomous Underwater Vehicle (AUV) control issues in presence of uncertainties. However, formulating structural H∞ problem deeply affects the global optimizing result. Key issues such as designing controller structures and formulating optimization constraints are still challenging. Therefore, this paper studied three structural H∞ controllers: PID, Anti-Windup PID, and Minimal-Zero PID. Different H∞ control structures and optimization constraints are designed and compared on CISCREA AUV yaw control scenario. Corresponding robust synthesis results and control simulation are analyzed in the end.
KW - Autonomous Underwater Vehicle
KW - PID
KW - Robust control
KW - Structured H∞ regulation
UR - http://www.scopus.com/inward/record.url?scp=85103694639&partnerID=8YFLogxK
U2 - 10.1109/OCEANSE.2019.8867446
DO - 10.1109/OCEANSE.2019.8867446
M3 - Conference contribution
AN - SCOPUS:85103694639
T3 - OCEANS 2019 - Marseille, OCEANS Marseille 2019
BT - OCEANS 2019 - Marseille, OCEANS Marseille 2019
PB - Institute of Electrical and Electronics Engineers
T2 - 2019 OCEANS - Marseille, OCEANS Marseille 2019
Y2 - 17 June 2019 through 20 June 2019
ER -